Wei Jin
Wei Jin
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
Pro-GNN
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
SelfTask-GNN
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"
AutoSSL
[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
DeCorr
[KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"
GCond
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
Movie-QA-System
基于知识图谱的电影问答系统。 This is a simple question answering and recommender system on movies (based on Knowledge Graph).
pytorch-gnn-meta-attack
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
SimP-GCN
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"