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"
URL: https://github.com/qianghuangwhu/benchtemp Openreview: https://openreview.net/forum?id=rnZm2vQq31
There are 19 (15+4) benchmark temporal graph datasets:
reddit,
wikipedia,
mooc,
lastfm,
enron,
SocialEvo,
uci,
CollegeMsg,
TaobaoSmall,
CanParl,
Contacts,
Flights,
UNtrade,
USLegis,
UNvote, DGraphFin, TaobaoLarge, YoutubeReddit, YoutubeRedditLarge
Each dataset has three files:
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.
'i': the id of the item.
'ts': the timestamp of the interaction (edge) between the user and the item.
'label': the label of the interaction (edge).
'idx': the index of the interaction (edge).
For example: ,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 - 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.