Topic: graph-self-supervised-learning Goto Github
Some thing interesting about graph-self-supervised-learning
Some thing interesting about graph-self-supervised-learning
graph-self-supervised-learning,Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
User: chandlerbang
graph-self-supervised-learning,Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
User: graphprojects
graph-self-supervised-learning,[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"
User: junxia97
graph-self-supervised-learning,[TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
User: kimmeen
graph-self-supervised-learning,Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction"
User: lirongwu
graph-self-supervised-learning,Code for ECML-PKDD 2023 paper "Learning to Augment Graph Structure for both Homophily and Heterophily Graphs"
User: lirongwu
graph-self-supervised-learning,Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
User: tengxiao1
graph-self-supervised-learning,[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
Organization: trustagi-lab
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