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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