UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks

Benchmark Model Rank Results
node-classification-on-actorGGCN + UniGAP#13Accuracy: 37.69 ± 1.2
node-classification-on-cornellH2GCN + UniGAP#20Accuracy: 84.96 ± 5.0
node-classification-on-texasGraphSAGE + UniGAP#14Accuracy: 86.52 ± 4.8
node-classification-on-wisconsinH2GCN + UniGAP#19Accuracy: 87.73 ± 4.8