Code and data for the MPM model ``A Message Passing framework with multiple data integration for miRNA-disease association prediction''
A convolutional multitask framework for miRNA-disease association prediction
Code and data for the submission: ``A multitask transfer learning framework for the prediction of virus-human protein-protein interactions''
PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
Graph revised convolutional network
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Do experiments on Cora, CiteSeer,Pubmed,CoraFull, Coauthor CS, Coauthor Physics,Amazon Computers and Amazon Photo.
I use almost same setting with paper and run each algorithm(GCN,SGC,GAT) on each dataset 10 times. Then I compute mean and std vaules.