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

Datasets for Paper "BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks"<br> URL: https://github.com/qianghuangwhu/benchtemp Openreview: https://openreview.net/forum?id=rnZm2vQq31 <br> There are 19 (15+4) 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, DGraphFin, TaobaoLarge, YoutubeReddit, YoutubeRedditLarge <br> Each dataset has three files:<br> 1. ml_{data_name}.csv - the csv file of the Temporal Graph. This file have five columns with properties: 'u': the id of the user.<br> 'i': the id of the item.<br> 'ts': the timestamp of the interaction (edge) between the user and the item.<br> 'label': the label of the interaction (edge).<br> 'idx': the index of the interaction (edge).<br> For example: ,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.. 3. ml_{data_name}_node.npy - the initialization node features of the Temporal Graph.论文《BenchTemp：用于评估时序图神经网络（Temporal Graph Neural Networks）的通用基准》配套数据集 GitHub地址：https://github.com/qianghuangwhu/benchtemp，OpenReview地址：https://openreview.net/forum?id=rnZm2vQq31 该数据集包含19个（15+4）基准时序图数据集，具体包括：reddit、wikipedia、mooc、lastfm、enron、SocialEvo、uci、CollegeMsg、TaobaoSmall、CanParl、Contacts、Flights、UNtrade、USLegis、UNvote、DGraphFin、TaobaoLarge、YoutubeReddit、YoutubeRedditLarge 每个数据集均包含三类文件： 1. ml_{data_name}.csv：时序图的CSV格式数据文件。该文件包含5个属性列：'u'表示用户ID，'i'表示项目ID，'ts'表示用户与项目之间交互（边）的时间戳，'label'表示该交互（边）的标签，'idx'表示该交互（边）的索引。示例格式如下： ,u,i,ts,label,idx 0,1,2,0.0,0.0,1 1,1,3,0.0,0.0,2 2,1,4,0.0,0.0,3 2. ml_{data_name}.npy：对应时序图中各交互（边）的边特征文件 3. ml_{data_name}_node.npy：时序图的初始化节点特征文件