The MAPLE Benchmark for Graph Mining

<p>This repository contains the graph format of MAPLE (a large-scale collection of scientific papers across 19 scientific fields), which can serve as a comprehensive evaluation benchmark for graph mining tasks (e.g., node classification, link prediction)&nbsp;in the scientific domain.</p> <p>MAPLE was introduced in&nbsp;the WWW 2023 paper &quot;The Effect of Metadata on Scientific Literature Tagging:&nbsp;A Cross-Field Cross-Model Study&quot;, available at <a href="http://arxiv.org/abs/2302.03341">https://arxiv.org/abs/2302.03341</a>.</p> <p>The original format of MAPLE used for text mining tasks (e.g., multi-label text classification) can be found at&nbsp;<a href="http://zenodo.org/record/7611544">https://zenodo.org/record/7611544</a>.</p> <p>Please refer to&nbsp;<a href="http://github.com/yuzhimanhua/MAPLE">https://github.com/yuzhimanhua/MAPLE</a>&nbsp;for more details on the data format.</p> <p>If you find MAPLE useful, please cite our paper:</p> <pre><code>@inproceedings{zhang2023effect, title={The effect of metadata on scientific literature tagging: A cross-field cross-model study}, author={Zhang, Yu and Jin, Bowen and Zhu, Qi and Meng, Yu and Han, Jiawei}, booktitle={WWW'23}, pages={1626--1637}, year={2023} }</code></pre>