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make 5 cross validation on dataset with normalization

Python helper classes to read and browse concepts and terms from TheSoz (thesaurus for the social sciences)

This repository contains code for the TKDE 2020 paper A Comparative Study for Unsupervised Network Representation Learning https://ieeexplore.ieee.org/abstract/document/8890798

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.

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Graph revised convolutional network

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"

Code and data for the submission: ``A multitask transfer learning framework for the prediction of virus-human protein-protein interactions''

A convolutional multitask framework for miRNA-disease association prediction

Code and data for the MPM model ``A Message Passing framework with multiple data integration for miRNA-disease association prediction''