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66 results for “graph model”
A dynamic ancestral graph model and GPU-based simulation of a community based on metagenomic sampling
<p>In this paper we present an ancestral graph model of the evolution of a guild in an ecological community. The model is based on a metagenomic sampling design in that a random sample is taken at the community, as opposed the taxon, level and species are discovered by genetic sequencing. The specific implementation of the model envisions an ecological guild that was founded by colonization at some point in the past that then potentially undergoes diversification by natural selection. Within the graph, species emerge and evolve through the diversification process and their densities in the graph are dynamic and governed by both ecological drift and random genetic drift, as well as differential viability. We employ the 3% sequence divergence rule at a marker locus to identify Operational Taxonomic Units. We then explore approaches to see if there are indirect signals of the diversification process, including population genetic and ecological approaches. In terms of population genetics, we study the joint site frequency spectrum of OTUs, as well its associated statistics. In terms of ecology, we study the species (or OTU) abundance distribution. For both we observe deviations from neutrality, which indicates that there may be signals of diversifying selection in metagenomic studies under certain conditions. The model is available as a GPU-based computer program in C/C++ and using OpenCL, with the long-term goal of adding functionality iteratively to model large-scale eco-evolutionary processes for metagenomic data.</p>
Ensembles of knowledge graph embedding models improve predictions for drug discovery
<p>This contains data described in detail in our paper, "Ensembles of knowledge graph embedding models improve predictions for drug discovery". The metadata involves the different trained models that were used for prediction analysis as well as all the predictions from the trained models.</p>
A Multilayer Graph Model of the Internet Topology - Dataset (2012)
<p><strong>Content:</strong> This dataset contains an integrated snapshot of the Internet Topology (year 2012) with corresponding graph models at the IP, Router, PoP, AS and ISP layers.</p> <p><strong>Purpose:</strong> Despite intensive research during the last two decades, the detailed structural composition of the Internet is still opaque to researchers. Nevertheless, due to the importance of Internet maps for the development of more effective routing algorithms, security mechanisms, and resilience management, more detailed insights are required. This article advances the understanding of the Internet structure by integrating data from different large-scale measurement campaigns into a set of comprehensive Internet graphs at different abstraction levels, and analyzes them in terms of important statistics and graph measures.</p> <p><strong>Design/methodology/approach:</strong> This study follows the topology measurement framework suggested by Gunes and Sarac (2009), involving three phases: topology collection, topology construction, and topology analysis.</p> <p><strong>Findings:</strong> An integrated data set of Internet graphs at different abstraction layers is provided that can serve as a baseline for future research on Internet analytics. Furthermore, results of important graph metrics are presented and power-law relationships for the degree distributions on every level of the current Internet are substantiated.</p> <p><strong>Research limitations/implications:</strong> By necessity, the integrated graphs provide a snapshot of the Internet topology. In future work, repeated measurements and automated data integration could lead to a better understanding of Internet dynamics.</p> <p><strong>Practical implications:</strong> Due to increasing dependency on the Internet as a critical global infrastructure, studying Internet connectivity is more important than ever for both companies and Internet service providers. The data set will be made publically available for network research.</p> <p><strong>Social implications:</strong> Understanding the structure of Internet serves as a fundamental step in improving the robustness, security, and privacy of any online service.</p> <p><strong>Originality/value:</strong> By carefully integrating six different traceroute datasets such as iPlane, CAIDA, Carna, DIMES, RIPE Atlas, and RIPE IPv6L, this paper presents the Internet graphs of a substantially larger and thus solid scale than previously known, at well-established abstraction levels such as the IP interface, router, Point of Presence (PoP), Autonomous System (AS), and Internet Service Provider (ISP). Furthermore, by employing a broad diversity of graph measures, this study creates a more exhaustive snapshot of the global Internet topology than earlier works. </p>
Graph neural network emulator for modeling of ice dynamics and calving in the Helheim Glacier, Greenland
<p>These files include the following codes and datasets for developing graph neural network (GNN) emulators for the Ice-sheet and Sea-level System Model (ISSM) for modeling ice sheet dynamics and calving in the Helheim Glacier, Greenland.</p> <ul> <li>ISSM_DGL_Helheim.py: Python file for training GNN models</li> <li>ISSM_CNN_Helheim.py: Python file for training convolutional neural network (CNN) models</li> <li>*.mat: Datasets of the ISSM transient simulation results</li> </ul>
Towards Neural Scaling Laws for Foundation Models on Temporal Graphs
<p>Datasets provided in this storage are introduced in the paper: <em>Towards Neural Scaling Laws for Foundation Models on Temporal Graphs</em></p> <ul> <li>Each .csv file represents all transactions of the token network that has the same name as the file name (<em><tokenname.csv>)</em></li> <li>Each transaction corresponds to a row in each file.</li> <li>Each transaction has: <ul> <li> blockNumber : is the block ID of Ethereum that includes this transaction</li> <li>timestamp: time that the transaction is made in UNIX timestamp format</li> <li>tokenAddress : the address that specifies a unique ERC20 token</li> <li>from: address of sender</li> <li>to: address of receiver</li> <li>value: the amount the transaction</li> <li>fileBlock: we split the whole number of blocks count to 35 buckets and assigned the bucket ID to the transaction to trace the blocks </li> </ul> </li> <li>To use the same setting as described in the papers, we include edge list and label that contain node interactions and labels for each snapshot in each token network. <ul> <li>Each transaction in the edge list also has "from","to" and "amount" fields, but with an additional "snapshot" field to indicate the index of the snapshot that the transaction below to</li> <li>Each row in label file indicates the ground truth label of the snapshot having an index corresponding to the index of the row (e.g first row indicates the label of the first snapshot)</li> <li>We provided the way to generate edge lists and label files in the following Github repository: https://github.com/benjaminnNgo/ScalingTGNs/blob/main/script/utils/TGS.py</li> </ul> </li> <li>However, we also provide raw <em>.csv </em> to divide into generate <em>edgeslist </em>and <em>label with a different setting.</em></li> </ul> <p><br><br></p>
Dataset of bike-sharing Demand Prediction model based on Spatio-Temporal Graph Convolutional Networks
<p>Dataset of bike-sharing Demand Prediction model based on Spatio-Temporal Graph Convolutional Networks</p>
Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"
<p>These RDF triples (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_graph_exportable.nq.zip?versionId=7aff7c4a-bb0c-46ae-b006-7a80bcec0925">synthea_graph_exportable.nq.zip</a>) are the result of modeling electronic health records (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_csv_output_turbo_cannonical.zip">synthea_csv_output_turbo_cannonical.zip), </a>that were synthesized with the Synthea software (https://github.com/synthetichealth/synthea). Anyone who loads them into a triplestore database is encouraged to provide feedback at https://github.com/PennTURBO/EhrGraphCollab/issues. The following abstract comes from a paper, describing the semantic instantiation process, and presented to the ICBO 2019 conference (https://drive.google.com/file/d/1eYXTBl75Wx3XPMmCIOZba-8Cv0DIhlRq/view).</p> <p>ABSTRACT: There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information.</p> <p>Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format.</p> <p>In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.</p>
Raw datasets for paper "Multi-scale hydraulic graph neural networks for flood modelling"
<p>The repository contains two zip folders for the synthetic and case study datasets (raw_datasets_mesh.zip, raw_datasets_dk15.zip). </p> <p>Each zip folder comprises 4 subfolders (DEM, Geometry, Hydrograph, Simulations), containing the elevation, boundary polygon, discharge hydrograph, and full hydrodynamic results for all simulations.</p> <p>The overview.csv file provides the seeds used for experiment replicability and the runtime of the numerical model on each simulation.</p>
SPARQL-Queries: Patterns in modeling and querying a knowledge graph for literary history
<p>All SPARQL queries documented here refer to the SPARQL endpoint: <u><a href="https://query.mimotext.uni-trier.de/">https://query.mimotext.uni-trier.de</a></u>. The queries are supplement to the following preprint: <span><a href="https://doi.org/10.5281/zenodo.12080340">https://doi.org/10.5281/zenodo.12080340</a></span>.</p> <ul> <li>Query 0, Fig 3: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0A%23defaultView%3AGraph%0ASELECT%20%3Fitem1%20%3Fitem1Label%20%3Fitem2%20%3Fitem2Label%20%3FedgeLabel%20%0AWITH%20%7B%0A%20%20SELECT%20%3Fitem1%20WHERE%20%7B%0A%20%20%20%20VALUES%20%3Fitem1%20%7B%20mmd%3AQ1011%20mmd%3AQ981%20mmd%3AQ2%20mmd%3AQ3039%20mmd%3AQ38%20mmd%3AQ3126%20mmd%3AQ3335%20mmd%3AQ3259%20mmd%3AQ3906%7D%0A%20%20%7D%0A%7D%20AS%20%25item1%0AWITH%20%7B%0A%20%20SELECT%20%28%3Fitem1%20AS%20%3Fitem2%29%20WHERE%20%7B%0A%20%20%20%20INCLUDE%20%25item1.%0A%20%20%7D%0A%7D%20AS%20%25item2%0AWHERE%20%7B%0A%20%20INCLUDE%20%25item1.%0A%20%20INCLUDE%20%25item2.%0A%20%20%3Fitem1%20%3Fwdt%20%3Fitem2.%0A%20%20%3Fedge%20wikibase%3AdirectClaim%20%3Fwdt%3B%0A%20%20%20%20%20%20%20%20a%20wikibase%3AProperty.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Authors (here: ‘Voltaire’) and works (here: ‘Le Micromégas’) in subject position shown as Graph</a></u></li> <li>Query 1: <u><a href="https://query.mimotext.uni-trier.de/#PREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIx%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fsubject%20%28COUNT%28%3Fo%29%20as%20%3Fcounts%29%0AWHERE%20%7B%0A%20%20VALUES%20%28%3Fp%20%3Fo%29%20%7B%20%28mmdt%3AP2%20mmd%3AQ2%29%20%28mmdt%3AP11%20mmd%3AQ11%29%20%28mmdt%3AP2%20mmd%3AQ20%29%20%28mmdt%3AP2%20mmd%3AQ26%29%20%7D%0A%20%20%3Fitem%20%3Fp%20%3Fo.%0A%20%20BIND%28IF%28%3Fo%20%3D%20mmd%3AQ2%2C%20%22novels%22%2C%20%0A%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ11%2C%20%22authors%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ20%2C%20%22thematic%20concepts%22%2C%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20IF%28%3Fo%20%3D%20mmd%3AQ26%2C%20%22spatial%20concepts%22%2C%20%22none%22%29%0A%20%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%20%29%0A%20%20%20%20%20%20%20%20%20%29%20as%20%3Fsubject%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%7DGROUP%20BY%20%3Fo%20%3Fsubject" target="_blank" rel="noopener">Count of novels, authors, thematic concepts and spatial concepts</a></u></li> <li>Query 2: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Narrative%20locations%20of%20literary%20works%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3FnarrativeLoc%20%3FnarrativeLocLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20%3FnarrativeLoc.%20%23item%20has%20narrative%20location%28s%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D" target="_blank" rel="noopener">Narrative locations of literary works</a></u></li> <li>Query 3: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Novels%20set%20in%20%27imaginary%20place%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP32%20mmd%3AQ3371.%20%23%20item%20has%20narrative%20location%20%27imaginary%20place%27%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels set in ‘imaginary place’</a></u></li> <li>Query 4: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20that%20have%20theme%20%27miracle%27%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ2990.%20%23%20item%20is%20about%20miracle%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels that have theme ‘miracle’</a></u></li> <li>Query 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANovels%20published%20in%20Paris%20between%201780%20and%201790%20that%20have%20theme%20%27philosophy%27%20%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fyear%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP10%20mmd%3AQ3521%3B%20%23item%20was%20published%20in%20Paris%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3039%3B%20%23item%20is%20about%20philosophy%0A%20%20%20%20%20%20%20%20mmdt%3AP9%20%3Fdate.%20%23item%20has%20publication%20date.%0A%0A%20%20FILTER%28%3Fdate%20%3E%3D%20%221780%22%5E%5Exsd%3AdateTime%20%26%26%20%3Fdate%20%3C%3D%20%221790%22%5E%5Exsd%3AdateTime%29.%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29.%0A%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%20%20%0A%0A%7D" target="_blank" rel="noopener">Novels published in Paris between 1780 and 1790 that have theme ‘philosophy’</a></u></li> <li>Query 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AQuery%20to%20retrieve%20some%20data%20about%20the%20MiMoTextBase%20such%20as%20Authors%2C%20Novels%2C%20publicationyears%2C%20tonality%20etc.%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fbgrf%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Fyear%20%3Fnarrpers%20%3Ftonality%20%3Fpages%20%3Fdist_format%20WHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%20%23item%20is%20instance%20of%20literary%20work%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP5%20%3Fauthor%7D%20%23item%20has%20author%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP4%20%3Ftitle%7D%20%23item%20has%20title%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP22%20%3Fbgrf%7D%20%20%23item%20has%20identifier%20in%20the%20bibliographic%20metadata%3F%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP9%20%3Fdate%7D%20%23item%20has%20publication%20date%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP27%20%3Fnarrpers%7D%20%23item%20has%20narrative%20form%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP31%20%3Ftonality%7D%20%23item%20has%20tonality%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP25%20%3Fpages%7D%20%23item%20has%20page%20information%20%28optionally%29%0A%20%20OPTIONAL%20%7B%20%3Fitem%20mmdt%3AP26%20%3Fdist_format%7D%20%23item%20has%20distribution%20format%20%28optionally%29%0A%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2C%20fr%22.%20%7D%0A%7D%20ORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Query to retrieve some data about the MiMoTextBase such as Authors, Novels, publicationyears, tonality etc.</a></u></li> <li>Query 7, Fig. 5: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThemes%20occuring%20in%20novels%20of%20intention%20satire%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Ftheme%20%28SAMPLE%28%3FthemeLabel%29%20as%20%3Fname%29%20%20%28count%28%2A%29%20as%20%3Fcount%29%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%23%20item%20is%20instance%20of%20literary%20work%0A%20%20%20%20%20%20%20%20mmdt%3AP39%20mmd%3AQ3906%3B%20%23novel%20has%20intention%20satire%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftheme.%20%23novel%20has%20theme%0A%20%20%20%20%20%20%3Ftheme%20rdfs%3Alabel%20%3FthemeLabel%20.%0A%20%20%20%20%20%20FILTER%20%28LANG%28%3FthemeLabel%29%20%3D%20%22en%22%29%20.%0A%7D%0AGROUP%20BY%20%3Ftheme%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Themes occuring in novels of intention satire</a></u></li> <li>Query 8: <u><a href="https://query.mimotext.uni-trier.de/#%23defaultView%3ABarChart%0A%23title%3ARatio%20of%20the%20theme%20%27nature%27%20over%20time%0A%23count%20of%20%27nature%27%20%28countNature%29%20as%20a%20novel%20theme%20in%20relation%20to%20the%20number%20of%20novels%20published%20per%20year%20%28countAll%29%3B%20ratio%2C%20as%20novel%20production%20is%20rising%20strongly%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20%3Fdate%20%28%3FcountNature%20%2F%20%3FcountAll%20AS%20%3Frel%29%20%20%3FcountNature%20%3FcountAll%20%20WHERE%20%7B%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountNature%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20mmd%3AQ3005.%0A%20%20%20%20BIND%28YEAR%28%3Fdate%29%20as%20%3Fyear%29%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%20%20%7B%0A%20%20%20%20%20%20%20%20SELECT%20%3Fdate%20%28COUNT%28%2A%29%20AS%20%3FcountAll%29%20WHERE%20%7B%0A%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fdate%3B%0A%20%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%20%20GROUP%20BY%20%3Fdate%0A%20%20%7D%0A%7D" target="_blank" rel="noopener">Ratio of the theme ‘nature’ over time</a></u></li> <li>Query 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20concepts%20of%20novels%20referenced%20by%20%E2%80%98Topic%20Modeling%E2%80%99%0A%23defaultView%3ABubbleChart%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmpr%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20prov%3A%20%3Chttp%3A%2F%2Fwww.w3.org%2Fns%2Fprov%23%3E%0A%0ASELECT%20%3FthemeLabel%20%28COUNT%28%2A%29%20AS%20%3Fcount%29%20WHERE%20%7B%0A%20%20%3Fstatement%20mmps%3AP36%20%3Ftheme%3B%0A%20%20%20%20%20%20%20%20prov%3AwasDerivedFrom%20%3Frefnode.%0A%20%20%3Frefnode%20mmpr%3AP18%20mmd%3AQ21.%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D%0AGROUP%20BY%20%3FthemeLabel" target="_blank" rel="noopener">Thematic concepts of novels referenced by ‘Topic Modeling’</a></u></li> <li>Query 10, Fig. 6: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AThematic%20statements%20derived%20from%20%E2%80%98topic%20modeling%E2%80%99%20and%20the%20bibliography%0A%23Statements%20on%20consistent%20topics%20in%20novels%20from%20both%20sources%3A%20Topic%20Modeling%20%26%20bibliographic%20metadata%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0APREFIX%20mmps%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fstatement%2F%3E%0APREFIX%20mmpr%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Freference%2F%3E%0APREFIX%20mmp%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2F%3E%0A%0ASELECT%20%3Fnovel%20%3FnovelLabel%20%3FtopicLabel%20%3FBGRF_plot_theme%20WHERE%0A%7B%20%20%20%0A%20%20%20%20%3Fnovel%20mmp%3AP36%20%3Fstatement.%0A%20%20%20%20%3Fstatement%20mmps%3AP36%20%3Ftopic.%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ21.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20topic%20modeling%0A%20%20%20%20%3Fstatement%20prov%3AwasDerivedFrom%2Fmmpr%3AP18%20mmd%3AQ1.%20%23reference%20statement%20uses%20%27P18%27%3D%27stated%20in%27%20bibliographie%20%20%0A%20%20%20%20%3Fnovel%20mmdt%3AP30%20%3FBGRF_plot_theme.%20%23statement%20in%20the%20BGRF%20about%20the%20plot%20theme.%0A%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%20%7D%0A%7D" target="_blank" rel="noopener">Thematic statements referenced by ‘topic modeling’ and the bibliography</a></u></li> <li>Query 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AOverview%20over%20controlled%20vocabularies%0A%23%20Query%20to%20retrieve%20the%20different%20controlled%20vocabularies%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%3Fvoc%20%3FvocLabel%20%28COUNT%28%3FvocLabel%29%20as%20%3Fcount%29%20%28COUNT%28%3Fwikimatch%29%20as%20%3Fwikimatch%29%0AWHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP37%20%3Fvoc.%0A%20%20%20%3Fvoc%20mmdt%3AP2%2Fmmdt%3AP1%20mmd%3AQ17.%0A%20%20%20OPTIONAL%7B%0A%20%20%20%20%20values%20%3Fwiki%20%7Bmmdt%3AP13%20mmdt%3AP16%7D%0A%20%20%20%20%20%3Fitem%20%3Fwiki%20%3Fwikimatch%7D%0A%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22%5BAUTO_LANGUAGE%5D%2Cen%22.%20%7D%0A%20%20%7D%0AGROUP%20BY%20%3Fvoc%20%3FvocLabel%0AORDER%20BY%20DESC%28%3Fcount%29" target="_blank" rel="noopener">Overview over controlled vocabularies</a></u></li> <li>Query 12: <u><a href="https://query.mimotext.uni-trier.de/#%23%20get%20combinations%20of%20narrative%20Form%20and%20intention%20per%20year%0A%23defaultView%3ABarChart%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%0A%0ASELECT%20%3Fyear%20%28COUNT%28%2A%29%20as%20%3Fcount%29%20%3FnarrFormTone%0A%20%20WHERE%7B%0A%20%20%20%20%3Fitem%20mmdt%3AP9%20%3Fpublicationdate.%20%23%20get%20publication%20date%0A%20%20%20%20%3Fitem%20mmdt%3AP38%20%3Ftone.%20%23%20get%20intention%0A%20%20%20%20BIND%28str%28YEAR%28%3Fpublicationdate%29%29%20as%20%3Fyear%29.%20%23%20extract%20year%20from%20pubdate%0A%20%20%20%20%3Fitem%20mmdt%3AP33%20%3FnarrForm.%20%23%20get%20narrative%20form%20%20%20%0A%20%20%20%20%3Ftone%20rdfs%3Alabel%20%3FtoneLabel.%0A%20%20%20%20FILTER%28LANG%28%3FtoneLabel%29%20%3D%20%22en%22%29.%0A%20%20%20%20%3FnarrForm%20rdfs%3Alabel%20%3FnarrFormLabel.%0A%20%20%20%20FILTER%28LANG%28%3FnarrFormLabel%29%20%3D%20%22en%22%29.%20%0A%20%20%20%20BIND%28CONCAT%28STR%28%3FnarrFormLabel%29%2C%20%22%20--%20%22%20%2C%20STR%28%3FtoneLabel%29%29%20as%20%3FnarrFormTone%29.%0A%20%20%7D%0AGROUP%20BY%20%3Fyear%20%3FnarrFormTone%0AHAVING%20%28%3Fcount%20%3E%201%29%0AORDER%20BY%20%3Fyear" target="_blank" rel="noopener">Combinations of narrative Form and intention per year</a></u></li> <li>Query 13: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ATopic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%20WHERE%20%7B%0A%20%20%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%0A%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%0A%20%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%0A%20%20FILTER%28LANG%28%3FtopicLabel_EN%29%20%3D%20%22en%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_FR%29%20%3D%20%22fr%22%29.%0A%20%20FILTER%28LANG%28%3FtopicLabel_DE%29%20%3D%20%22de%22%29.%0A%0A%7D" target="_blank" rel="noopener">Topic labels in English, French and German using rdfs:label and Filter</a></u></li> <li>Query 14: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3A%20Topic%20labels%20in%20English%2C%20French%20and%20German%0APREFIX%20mmd%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%20%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Ftopic%20%3FtopicLabel_EN%20%3FtopicLabel_FR%20%3FtopicLabel_DE%0A%20%20%20WHERE%20%7B%0A%20%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2%3B%20%0A%20%20%20%20%20%20%20%20%20mmdt%3AP36%20%3Ftopic.%20%20%0A%20%20%20%20%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_EN.%0A%20%20%20%20%20%7D%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22de%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_DE.%0A%20%20%20%20%20%7D%20%0A%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22fr%22.%0A%20%20%20%20%20%20%20%20%20%20%20%20%3Ftopic%20rdfs%3Alabel%20%3FtopicLabel_FR.%0A%20%20%20%20%20%7D%20%0A%20%20%20%0A%20%20%20%7D" target="_blank" rel="noopener">Topic labels in English, French and German using Wikibase Label Service</a></u></li> <li>Query 15: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ALabels%20entered%20on%20wikidata-entry%20%27Voltaire%27%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20%28LANG%28%3FVoltaireLabels%29%20as%20%3Flang%29%20%3FVoltaireLabels%20%0AWHERE%20%7B%20%0A%20%20%0A%20%20mmd%3AQ981%20mmdt%3AP13%20%3FwikiDataEntity.%20%23%20Voltaire%20has%20a%20wikidata%20match.%0A%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%3FwikiDataEntity%20rdfs%3Alabel%20%3FVoltaireLabels.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%7D%0AORDER%20BY%20%3Flang" target="_blank" rel="noopener">Labels entered on wikidata-entry ‘Voltaire’</a></u></li> <li>Query 16, Fig. 9: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3ANarrative%20locations%20of%20the%20novels%20on%20a%20map%0A%23defaultView%3AMap%7B%22markercluster%22%3A%22true%22%7D%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20wd%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20wdt%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3Fnarr_loc%20%3Fnarr_locLabel%20%3FWikiDataEntity%20%3FcoordinateLocation%0AWHERE%20%7B%20%3Fitem%20mmdt%3AP32%20%3Fnarr_loc.%0A%20%20%3Fnarr_loc%20mmdt%3AP13%20%3FWikiDataEntity.%0A%20%20%23Federated%20Query%20-%3E%20Wikidata%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%3FWikiDataEntity%20wdt%3AP625%20%3FcoordinateLocation%0A%20%20%7D%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20SERVICE%20wikibase%3Alabel%20%7B%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%20%7D%0A%7D" target="_blank" rel="noopener">Narrative location with geo coordinate locations via federated query</a></u></li> <li>Query 17: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AAlternative%20Labels%20of%20author%20names%20via%20%E2%80%98federated%E2%80%99%20queries%E2%80%99%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fauthor%20%3FauthorLabel%20%3FwikidataEntity%20%3Faltname%0AWHERE%20%7B%0A%20%20%20%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FwikidataEntity.%20%20%23exact%20match%0A%20%0A%20%20%20%20%20%20%23Federated%20Query%20-%3E%20Wikidata%0ASERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FwikidataEntity%20skos%3AaltLabel%20%3Faltname%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D%0ALIMIT%201000" target="_blank" rel="noopener">Alternative Labels of author names via ‘federated’ queries’</a></u></li> <li>Query 18, Fig. 10: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AMiMoText%20novels%20with%20URL%20to%20Biblioth%C3%A8que%20nationale%20de%20France%20%0A%23defaultView%3AImageGrid%0APREFIX%20wd%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20prefix%20definition%20for%20entity%0APREFIX%20wdt%3A%20%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20prefix%20definition%20for%20property%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%20%23mimotext%20prefix%20for%20entity%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%20%23mimotext%20prefix%20for%20property%0A%0ASELECT%20%3Fitem%20%3FitemLabel%20%3Fwikidata%20%3Fbnfurl%20%3Fimage%20%0AWHERE%20%7B%0A%20%20%3Fitem%20mmdt%3AP2%20mmd%3AQ2.%0A%20%20%3Fitem%20mmdt%3AP13%20%3Fwikidata.%0A%20%20%3Fitem%20rdfs%3Alabel%20%3FitemLabel%20.%0A%20%20FILTER%28lang%28%3FitemLabel%29%20%3D%20%22en%22%29%0A%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%3Fwikidata%20wdt%3AP268%20%3Fbnfid.%0A%20%20%20%20OPTIONAL%7B%20%3Fwikidata%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20OPTIONAL%7B%20wd%3AP268%20wdt%3AP1630%20%3Fformatterurl.%7D%0A%20%20%20BIND%28IRI%28REPLACE%28%3Fbnfid%2C%20%27%5E%28.%2B%29%24%27%2C%20%3Fformatterurl%29%29%20AS%20%3Fbnfurl%29.%0A%20%20%7D%20%20%20%20%20%20%20%20%20%0A%7D" target="_blank" rel="noopener">Finding Identifiers on other Knowledge Graphs, for example Bibliothèque nationale de France ID</a></u></li> <li>Query 19, Fig. 11: <u><a href="https://query.mimotext.uni-trier.de/#%23title%3AInfluence%20networks%20of%20authors%20via%20%27federated%20query%27%0A%23defaultView%3AGraph%0APREFIX%20wd%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fentity%2F%3E%20%23wikidata%20entity%0APREFIX%20wdt%3A%3Chttp%3A%2F%2Fwww.wikidata.org%2Fprop%2Fdirect%2F%3E%20%23wikidata%20property%0A%0APREFIX%20mmd%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fentity%2F%3E%0APREFIX%20mmdt%3A%3Chttp%3A%2F%2Fdata.mimotext.uni-trier.de%2Fprop%2Fdirect%2F%3E%0A%0ASELECT%20DISTINCT%20%3Fitem%20%3FitemLabel%20%3FauthorLabel%20%3Finfluencedby%20%3Fimage%20%3Fname%0AWHERE%20%7B%0A%20%20%20%20%20%20%3Fitem%20mmdt%3AP5%20%3Fauthor.%0A%20%20%20%20%20%20%3Fauthor%20mmdt%3AP13%20%3FWikidataEntity.%20%20%23exact%20match%0A%20%20%20%20%20%20%0A%23Federated%20Query%20-%3E%20Wikidata%0A%20%20%20%20%20%20SERVICE%20%3Chttps%3A%2F%2Fquery.wikidata.org%2Fsparql%3E%20%7B%0A%20%20%20%20%20%20%20%20%20%3FWikidataEntity%20wdt%3AP737%2Fwdt%3AP737%20%3Finfluencedby.%0A%20%20%20%20%20%20%20%20%20%23%20%3Finfluencedby%20widt%3AP734%20%3Fname.%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20OPTIONAL%20%7B%20%20%3Finfluencedby%20wdt%3AP18%20%3Fimage.%7D%0A%20%20%20%20%20%20%7D%20%20%20%20%20%0A%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%0A%20%20%20%20%20%20SERVICE%20wikibase%3Alabel%20%7B%0A%20%20%20%20%20%20%20%20%20bd%3AserviceParam%20wikibase%3Alanguage%20%22en%22%20.%0A%20%20%20%20%20%20%7D%0A%7D" target="_blank" rel="noopener">Influence networks of authors via ‘federated query’</a></u></li> </ul>
Dataset for Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs
<p>Dataset for the paper titled Scaling Whole-Chip QAOA for Higher-Order Ising Spin Glass Models on Heavy-Hex Graphs</p> <p>Pre-print located at https://arxiv.org/abs/2312.00997</p> <p>See README.md for complete data description</p> <p>LA-UR-24-31392</p>
Models and data for "Modelling and controlling a Segway using bond graphs"
<p>The files here contain models and data for the technical report "Modelling and controlling a Segway using bond graphs".</p>
Freebase Datasets for Robust Evaluation of Knowledge Graph Link Prediction Models
<p><strong>Freebase</strong> is amongst the largest public cross-domain knowledge graphs. It possesses three main data modeling idiosyncrasies. It has a strong <strong>type system</strong>; its properties are purposefully represented in <strong>reverse pairs</strong>; and it uses <strong>mediator objects</strong> to represent multiary relationships. These design choices are important in modeling the real-world. But they also pose nontrivial challenges in research of embedding models for knowledge graph completion, especially when models are developed and evaluated agnostically of these idiosyncrasies. We make available several variants of the Freebase dataset by inclusion and exclusion of these data modeling idiosyncrasies. This is the first-ever publicly available <strong>full-scale</strong> Freebase dataset that has gone through <strong>proper preparation</strong>. </p><p> </p><p>Dataset Details</p><p>The dataset consists of the four variants of Freebase dataset as well as related mapping/support files. For each variant, we made three kinds of files available:</p><ul><li>Subject matter triples file<ul><li><i>fb+/-CVT+/-REV</i> One folder for each variant. In each folder there are 5 files: train.txt, valid.txt, test.txt, entity2id.txt, relation2id.txt Subject matter triples are the triples belong to subject matters domains—domains describing real-world facts.<ul><li>Example of a row in train.txt, valid.txt, and test.txt: <ul><li>2, 192, 0</li></ul></li><li>Example of a row in entity2id.txt:<ul><li>/g/112yfy2xr, 2</li></ul></li><li>Example of a row in relation2id.txt:<ul><li>/music/album/release_type, 192</li></ul></li><li>Explaination<ul><li>"/g/112yfy2xr" and "/m/02lx2r" are the MID of the subject entity and object entity, respectively. "/music/album/release_type" is the realtionship between the two entities. 2, 192, and 0 are the IDs assigned by the authors to the objects.</li></ul></li></ul></li></ul></li><li>Type system file<ul><li><i>freebase_endtypes</i>: Each row maps an edge type to its required subject type and object type.<ul><li>Example<ul><li>92, 47178872, 90</li></ul></li><li>Explanation<ul><li>"92" and "90" are the type id of the subject and object which has the relationship id "47178872".</li></ul></li></ul></li></ul></li><li>Metadata files<ul><li><i>object_types</i>: Each row maps the MID of a Freebase object to a type it belongs to.<ul><li>Example<ul><li>/g/11b41c22g, /type/object/type, /people/person</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b41c22g" has a type "/people/person"</li></ul></li></ul></li><li><i>object_names</i>: Each row maps the MID of a Freebase object to its textual label.<ul><li>Example<ul><li>/g/11b78qtr5m, /type/object/name, "Viroliano Tries Jazz"@en</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b78qtr5m" has name "Viroliano Tries Jazz" in English.</li></ul></li></ul></li><li><i>object_ids</i>: Each row maps the MID of a Freebase object to its user-friendly identifier.<ul><li>Example<ul><li>/m/05v3y9r, /type/object/id, "/music/live_album/concert"</li></ul></li><li>Explanation<ul><li>The entity with MID "/m/05v3y9r" can be interpreted by human as a music concert live album.</li></ul></li></ul></li><li><i>domains_id_label</i>: Each row maps the MID of a Freebase domain to its label.<ul><li>Example<ul><li>/m/05v4pmy, geology, 77</li></ul></li><li>Explanation<ul><li>The object with MID "/m/05v4pmy" in Freebase is the domain "geology", and has id "77" in our dataset.</li></ul></li></ul></li><li><i>types_id_label</i>: Each row maps the MID of a Freebase type to its label.<ul><li>Example<ul><li>/m/01xljxh, /government/political_party, 147</li></ul></li><li>Explanation<ul><li>The object with MID "/m/01xljxh" in Freebase is the type "/government/political_party", and has id "147" in our dataset.</li></ul></li></ul></li><li><i>entities_id_label</i>: Each row maps the MID of a Freebase entity to its label.<ul><li>Example<ul><li>/g/11b78qtr5m, Viroliano Tries Jazz, 2234</li></ul></li><li>Explanation<ul><li>The entity with MID "/g/11b78qtr5m" in Freebase is "Viroliano Tries Jazz", and has id "2234" in our dataset.</li></ul></li><li><i>properties_id_label</i>: Each row maps the MID of a Freebase property to its label.<ul><li>Example<ul><li>/m/010h8tp2, /comedy/comedy_group/members, 47178867</li></ul></li><li>Explanation<ul><li>The object with MID "/m/010h8tp2" in Freebase is a property(relation/edge), it has label "/comedy/comedy_group/members" and has id "47178867" in our dataset.</li></ul></li></ul></li><li><i>uri_original2simplified</i> and <i>uri_simplified2original</i>: The mapping between original URI and simplified URI and the mapping between simplified URI and original URI repectively.<ul><li>Example<ul><li><i>uri_original2simplified</i><ul><li>"<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>": "/type/property/unique"</li></ul></li><li><i>uri_simplified2original</i><ul><li>"/type/property/unique": "<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>"</li></ul></li></ul></li><li>Explanation<ul><li>The URI "<a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a>" in the original Freebase RDF dataset is simplified into "/type/property/unique" in our dataset.</li><li>The identifier "/type/property/unique" in our dataset has URI <a href="http://rdf.freebase.com/ns/type.property.unique">http://rdf.freebase.com/ns/type.property.unique</a> in the original Freebase RDF dataset.</li></ul></li></ul></li></ul></li></ul></li></ul>
Graph models underlying templates for annotating a study in ecology and evolution
<p><em>Schematic representation of the graph models, resources and links to ontologies underlying a set of templates designed to annotate studies in invasion biology, and more generally ecology or evolution. The main template is the “General scoping” template, while each other box would allow a more detailed description of Dataset, Study system, Study design, and research question and hypotheses in Invasion biology. This figure was presented during the <a href="https://hiknowledgeworkshops.com/workshop-2/">June 2023 workshop of the Hi Knowledge initiative</a>. </em></p>
Results and log of LLM-KG-Bench runs described in article "Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?", Frey et al. 2023
<p>Results and log of LLM-KG-Bench runs described in article ""Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?", Frey et al. 2023, to appear in proceedings for workshop DL4KG@ISWC 2023.</p> <p>For data on task FactExtractStatic please contact authors.</p>
A dynamic ancestral graph model and GPU-based simulation of a community based on metagenomic sampling
Open the record for dataset details and reuse information.
PODC 2020 live recording, session: graph algorithms and congest model
<p>A recording of the "graph algorithms and congest model" session in PODC 2020. This session took place on Thursday, 6-Aug-2020, and was chaired by Alkida Balliu.</p>
PODC 2020 live recording, session: wireless protocols and graph models
<p>A recording of the "wireless protocols and graph models" session in PODC 2020. This session took place on Wednesday, 5-Aug-2020, and was chaired by Andréa Richa.</p>
Joint Autoregressive and Graph Models for Software and Developer Social Networks
<p>This zip contains three CSV files and one folder. This dataset contains information for the recent ten distributions.</p> <ul> <li><strong>developer_attributes.csv</strong>: There are seven columns in this file. "distro" (str) represents distribution name. "source" (str) denotes source package name. "person_id" (str) indicates developer identity. "closes" (int), "high" (int), "medium" (int), "low" (int) are the features.</li> <li><strong>source_bugs.csv</strong>: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents the source package name. "bug_count" (int) denotes the number of bugs that source package has at a particular distribution.</li> <li><strong>source_sizes.csv</strong>: In this file, three columns are present. "distro" (str) represents the distribution name. "source" (str) represents source package name. "size" (int) denotes the size of the package.</li> <li><strong>Dependency folder:</strong> Within this folder, ten dependency lists are present. Each file contains two columns i.e "start" (str) and "target" (str). Both of them represent source packages. So, we read as the "start" source package depends on "target" source package. </li> </ul> <p>Here is the arxiv version of our paper: <a href="https://arxiv.org/abs/2101.08729">https://arxiv.org/abs/2101.08729</a>. </p> <p>Here is the portal link: <a href="https://sites.google.com/view/rima-hazra/swnet">https://sites.google.com/view/rima-hazra/swnet</a></p>
Dataset for Generative Model of Software Dependency Graphs
<p>Data set for the paper entitled "A Generative Model of Software Dependency Graphs to Better Understand Software Evolution".</p> <p>Available files are:</p> <ul> <li>Sources archives (102 MB),</li> <li>Extracted dependencies (3.5 MB) and</li> <li>Generated graphs (15 MB).</li> </ul>
Graph Neural Network vs. Large Language Model: A Comparative Analysis for Bug Report Priority and Severity Prediction
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ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.