A Non-Negative Factorization approach to node pooling in Graph Convolutional Neural Networks

Benchmark Model Rank Results
graph-classification-on-collab1-NMFPool–Accuracy: 65.0%
graph-classification-on-dd1-NMFPool–Accuracy: 76.0%
graph-classification-on-enzymes1-NMFPool–Accuracy: 24.1%
graph-classification-on-nci11-NMFPool–Accuracy: 66.2%
graph-classification-on-proteins1-NMFPool–Accuracy: 72.1%