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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"GCond
[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"SelfTask-GNN
Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"Movie-QA-System
ๅบไบ็ฅ่ฏๅพ่ฐฑ็็ตๅฝฑ้ฎ็ญ็ณป็ปใ This is a simple question answering and recommender system on movies (based on Knowledge Graph).awesome-graph-reduction
Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.SimP-GCN
Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"GTrans
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"DeCorr
[KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"AutoSSL
[ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"pytorch-gnn-meta-attack
Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.Simple-SearchEngine
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