Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.

DeepWalk - Deep Learning for Graphs

Lite version of LibRadar

Network Embedding

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

A pytorch implementation of 'PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks'

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

Tool for leaking and bypassing Android malware detection system

Semi-supervised learning with graph embeddings