node2vec: Scalable Feature Learning for Networks

Benchmark Model Rank Results
link-property-prediction-on-ogbl-citation2Node2vec#16Ext. data: NoTest MRR: 0.6141 ± 0.0011Validation MRR: 0.6124 ± 0.0011
link-property-prediction-on-ogbl-collabNode2vec#14Test Hits@50: 0.4888 ± 0.0054Ext. data: No
link-property-prediction-on-ogbl-ddiNode2vec#17Ext. data: NoTest Hits@20: 0.2326 ± 0.0209
link-property-prediction-on-ogbl-ppaNode2vec#14Ext. data: NoTest Hits@100: 0.2226 ± 0.0083
node-classification-on-blogcatalog-1node2vec#5Accuracy: 21.5Macro-F1: 0.2581
node-classification-on-blogcatalog-1DeepWalk#6Macro-F1: 0.206
node-classification-on-ppinode2vec#23Macro-F1: 0.1791
node-classification-on-ppiDeepWalk#24Macro-F1: 0.1768
node-property-prediction-on-ogbn-arxivNode2vec#70Test Accuracy: 0.7007 ± 0.0013Ext. data: No
node-property-prediction-on-ogbn-papers100mNode2vec#17Test Accuracy: 0.5560 ± 0.0023Ext. data: No
node-property-prediction-on-ogbn-productsNode2vec#53Test Accuracy: 0.7249 ± 0.0010Ext. data: No
node-property-prediction-on-ogbn-proteinsNode2vec#22Ext. data: NoTest ROC-AUC: 0.6881 ± 0.0065