Example: Pokec and LiveJournal

We provide data and model running scripts of two large-scale social network datasets: Pokec and LiveJournal, which are used in our paper: xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. (The Xbox dataset is an industrial one and is not able to be public.)

The datasets can be downloaded from here (Google Drive). All the scripts including dataset processing and model running can be found in script/examples/pokec_and_livejournal.

Once the dataset instance is generated, you can run all the models. For example, run PPRGo and xGCN on the LiveJournal dataset (4.8 million nodes):

# fill your path here:
all_data_root=''
config_file_root='config/'
cd script/examples/pokec_and_livejournal

bash run_PPR-livejournal.sh  $all_data_root $config_file_root
bash run_PPRGo-livejournal.sh  $all_data_root $config_file_root

bash run_xGCN-livejournal.sh  $all_data_root $config_file_root

The results will be around follows:

	Recall@50	Recall@100	NDCG@100	Training Time
PPRGo	0.2525	0.3170	0.0950	20,096s
xGCN	0.3167	0.3635	0.1349	5,040s

(Training time: time for an epoch * number of epochs used to achieve the best score in the validation.)