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Datasets for "MGTCOM: Community Detection in Multimodal Graphs"

<p>These are the datasets used in <em><strong>&quot;MGTCOM: Community Detection in Multimodal Graphs&quot;</strong></em></p> <p>The dataset preparation code can be found in <a href="https://github.com/EgorDm/MGTCOM">our repository</a>.</p> <p>Each dataset consists of a heterogenous graph with additional edge or node timestamps and preprocessed feature vectors.</p> <p>For each dataset, the files are split into raw and processed folders.<br> * `<em>raw</em>` folder: contains a set of parquet files with formatted raw dataset data. Files follow the naming convention `node_&lt;name&gt;` or `edge_&lt;from&gt;_&lt;rel_name&gt;_&lt;to&gt;`.<br> * `<em>processed</em>` folder: contains&nbsp;preprocessed datasets in <a href="https://pytorch-geometric.readthedocs.io/en/latest/">pytorch geometric</a> graph data format</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4

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