GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation

Benchmark Model Rank Results
node-classification-on-citeseerGResNet(LoopyNet)#24Accuracy: 73.7%
node-classification-on-citeseerGResNet(GAT)#25Accuracy: 73.5%
node-classification-on-citeseerGResNet(GCN)#30Accuracy: 72.7%
node-classification-on-citeseerLoopyNet#43Accuracy: 71.6%
node-classification-on-coraGResNet(GAT)#16Accuracy: 85.5%
node-classification-on-coraGResNet(GCN)#23Accuracy: 84.3%
node-classification-on-coraGResNet(LoopyNet)#28Accuracy: 83.9%
node-classification-on-coraLoopyNet#40Accuracy: 82.6%
node-classification-on-pubmedGResNet(LoopyNet)#19Accuracy: 83.0%
node-classification-on-pubmedGResNet(GAT)#21Accuracy: 82.2%
node-classification-on-pubmedGResNet(GCN)#22Accuracy: 81.7%
node-classification-on-pubmedLoopyNet#23Accuracy: 81.2%