Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Benchmark Model Rank Results
3d-object-classification-on-modelnet10ECC (12 votes)#3Accuracy: 90
3d-object-classification-on-modelnet40ECC (12 votes)#7Classification Accuracy: 83.2
3d-point-cloud-classification-on-modelnet40ECC#99Overall Accuracy: 87.4Mean Accuracy: 83.2
graph-classification-on-ddECC (5 scores)#44Accuracy: 74.1%
graph-classification-on-enzymesECC (5 scores)#37Accuracy: 52.67%
graph-classification-on-mutagECC (5 scores)#35Accuracy: 88.33%
graph-classification-on-nci1ECC (5 scores)#21Accuracy: 83.8%
graph-classification-on-nci109ECC (5 scores)#15Accuracy: 82.14