DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
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Benchmark
Model
Rank
Results
graph-classification-on-collab
DGCNN
–
Accuracy: 68.34%
graph-classification-on-dd
DGCNN
–
Accuracy: 77.21%
graph-classification-on-proteins
DGCNN
–
Accuracy: 75.1%
graph-classification-on-ptc
DGCNN
–
Accuracy: 65.43%
Rank counts only results with a code link.