Datasets for Paper "BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks"

<p>Datasets for Paper &quot;BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks&quot;<br> URL: https://github.com/qianghuangwhu/benchtemp</p> <p>Openreview:&nbsp;https://openreview.net/forum?id=rnZm2vQq31</p> <p><br> There are 19 (15+4)&nbsp;&nbsp;benchmark temporal graph datasets:<br> reddit,<br> wikipedia,<br> mooc,<br> lastfm,<br> enron,<br> SocialEvo,<br> uci,<br> CollegeMsg,<br> TaobaoSmall,<br> CanParl,<br> Contacts,<br> Flights,<br> UNtrade,<br> USLegis,<br> UNvote,</p> <p>DGraphFin,</p> <p>TaobaoLarge,</p> <p>YoutubeReddit,</p> <p>YoutubeRedditLarge</p> <p>&nbsp;</p> <p><br> Each dataset has three files:<br> 1. ml_{data_name}.csv - the csv file of the Temporal Graph.</p> <p>This file have five columns with properties:</p> <p>&#39;u&#39;: the id of the user.<br> &#39;i&#39;: the id of the item.<br> &#39;ts&#39;: the timestamp of the interaction (edge) between the user and the item.<br> &#39;label&#39;: the label of the interaction (edge).<br> &#39;idx&#39;: the index of the interaction (edge).<br> For example:</p> <p>,u,i,ts,label,idx<br> 0,1,2,0.0,0.0,1<br> 1,1,3,0.0,0.0,2<br> 2,1,4,0.0,0.0,3<br> 2. ml_{data_name}.npy - the edge features corresponding to the interactions (edges) in the the Temporal Graph..</p> <p>3. ml_{data_name}_node.npy - the initialization node features of the Temporal Graph.</p>