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Graph Contrastive Learning

List of Publications in Graph Contrastive Learning

Last edit: 2022-05-05

Title Publisher Resource
Disentangled Contrastive Learning on Graphs NeurIPS 2021 paper
Multi-view Contrastive Graph Clustering NeurIPS 2021 paper
Directed Graph Contrastive Learning NeurIPS 2021 paper
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 paper
Adversarial Graph Augmentation to Improve Graph Contrastive Learning NeurIPS 2021 paper
InfoGCL: Information-Aware Graph Contrastive Learning NeurIPS 2021 paper
Graph Contrastive Learning with Augmentations NeurIPS 2021 paper
Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning KDD 2021 paper code
MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge KDD 2021 paper
An Empirical Study of Graph Contrastive Learning NeurIPS 2021 Benchmark paper code
Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021 paper
Learning Graphs for Knowledge Transfer With Limited Labels CVPR 2021 paper
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network CVPR 2021 paper
Graph Contrastive Learning Automated ICML 2021 paper code
Towards Robust Graph Contrastive Learning arXiv 2021 paper
Label Contrastive Coding based Graph Neural Network for Graph Classification DASFAA 2021 paper
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction AAAI 2021 paper
Contrastive and Generative Graph Convolutional Networks for Graph-Based Semi-Supervised Learning AAAI 2021 paper
Contrastive Self-Supervised Learning for Graph Classification AAAI 2021 paper
Improving Graph Representation Learning by Contrastive Regularization arXiv 2021 paper
Self-supervised Learning: Generative or Contrastive arXiv 2021 paper
Relation Representation Learning via Signed Graph Mutual Information Maximization for Trust Prediction Symmetry 2021 paper
Contrastive Learning for Recommender System arXiv 2021 paper
Bipartite Graph Embedding via Mutual Information Maximization WSDM 2021 paper code
Graph Contrastive Learning with Augmentations NeurIPS 2020 paper code
Graph Contrastive Learning with Adaptive Augmentation arXiv 2020 paper
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization arXiv 2020 paper
Deep Graph Contrastive Representation Learning ICML 2020 paper code
Contrastive Multi-View Representation Learning on Graphs ICML 2020 paper code
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information ICLR 2020 paper code
Explainable Classification of Brain Networks via Contrast Subgraphs KDD 2020 paper code
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training KDD 2020 paper code
Deep Graph Infomax ICLR 2019 paper code
Learning deep representations by mutual information estimation and maximization ICLR 2019 paper code

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To the extent possible under law, Hongwei Jin has waived all copyright and related or neighboring rights to this work.