Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Benchmark Model Rank Results
link-property-prediction-on-ogbl-citation2ClusterGCN (GCN aggr)#14Ext. data: NoTest MRR: 0.8004 ± 0.0025Validation MRR: 0.7994 ± 0.0025
node-classification-on-ppiCluster-GCN#9F1: 99.36
node-classification-on-ppiClusterGCN#18F1: 92.9
node-classification-on-pubmedClusterGCN#56F1: 79.9
node-property-prediction-on-ogbn-magClusterGCN (R-GCN aggr)#31Test Accuracy: 0.3732 ± 0.0037Ext. data: No
node-property-prediction-on-ogbn-productsClusterGCN+residual+3 layers#43Test Accuracy: 0.7971 ± 0.0042Ext. data: No
node-property-prediction-on-ogbn-productsCluster-GAT#46Test Accuracy: 0.7923 ± 0.0078Ext. data: No
node-property-prediction-on-ogbn-productsClusterGCN (SAGE aggr)#48Test Accuracy: 0.7897 ± 0.0033Ext. data: No