Towards Deeper Graph Neural Networks

Benchmark Model Rank Results
node-classification-on-amz-computersDAGNN (Ours)#4Accuracy: 84.5 ± 1.2
node-classification-on-amz-photoDAGNN (Ours)#12Accuracy: 92%
node-classification-on-citeseer-with-publicDAGNN (Ours)#19Accuracy: 73.3 ± 0.6
node-classification-on-coauthor-csDAGNN (Ours)#19Accuracy: 92.8%
node-classification-on-coauthor-physicsDAGNN (Ours)#14Accuracy: 94
node-classification-on-cora-with-public-splitDAGNN (Ours)#9Accuracy: 84.4 ± 0.5
node-classification-on-pubmed-with-publicDAGNN (Ours)#12Accuracy: 80.5 ± 0.5
node-property-prediction-on-ogbn-arxivDAGNN#59Test Accuracy: 0.7209 ± 0.0025Ext. data: No