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

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