Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks

Benchmark Model Rank Results
node-classification-on-cora-fixed-20-node-per-classDSGCN#1Accuracy: 84.2
graph-classification-on-enzymesDSGCN-allfeat#4Accuracy: 78.39
graph-classification-on-enzymesDSGCN-nodelabel#20Accuracy: 65.13
node-classification-on-pubmed-with-public-split-fixed-20-nodes-per-classDSGCN#5Accuracy: 81.9%
node-classification-on-ppiDSGCN#11F1: 99.09 ± 0.03
node-classification-on-cora-with-public-split-fixed-20-nodes-per-classDSGCN#14Accuracy: 84.2%
node-classification-on-citeseer-with-public-split-fixed-20-nodes-per-classDSGCN#18Accuracy: 73.3