UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification
Open paper
Benchmark
Model
Rank
Results
node-classification-on-cornell
UniG-Encoder
#5
Accuracy: 86.75±6.56
node-classification-on-texas
UniG-Encoder
#21
Accuracy: 85.40±5.3
node-classification-on-wisconsin
UniG-Encoder
#17
Accuracy: 88.03±4.42
Rank counts only results with a code link.