Open Graph Benchmark: Datasets for Machine Learning on Graphs

Benchmark Model Rank Results
link-property-prediction-on-ogbl-citation2Matrix Factorization#17Ext. data: NoTest MRR: 0.5186 ± 0.0443Validation MRR: 0.5181 ± 0.0436
link-property-prediction-on-ogbl-collabMatrix Factorization#21Test Hits@50: 0.3886 ± 0.0029Ext. data: No
link-property-prediction-on-ogbl-ddiMatrix Factorization#19Ext. data: NoTest Hits@20: 0.1368 ± 0.0475
link-property-prediction-on-ogbl-ppaMatrix Factorization#12Ext. data: NoTest Hits@100: 0.3229 ± 0.0094
node-property-prediction-on-ogbn-arxivMLP#74Test Accuracy: 0.5550 ± 0.0023Ext. data: No
node-property-prediction-on-ogbn-magMLP#34Test Accuracy: 0.2692 ± 0.0026Ext. data: No
node-property-prediction-on-ogbn-papers100mMLP#18Test Accuracy: 0.4724 ± 0.0031Ext. data: No
node-property-prediction-on-ogbn-productsMLP#57Test Accuracy: 0.6106 ± 0.0008Ext. data: No
node-property-prediction-on-ogbn-proteinsMLP#21Ext. data: NoTest ROC-AUC: 0.7204 ± 0.0048