CrawlScript / Awesome-Graph-Contrastive-Learning
Collection of resources related with Graph Contrastive Learning.
☆33Updated 3 years ago
Related projects: ⓘ
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆53Updated 3 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆94Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆46Updated last year
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆57Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆107Updated 3 years ago
- ☆72Updated 3 years ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆42Updated 2 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆69Updated 9 months ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- ☆57Updated last year
- Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)☆114Updated last year
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆44Updated 3 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆27Updated 2 years ago
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆40Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆109Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆42Updated 2 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Updated 3 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆80Updated last year
- ☆29Updated 4 years ago
- ☆94Updated 3 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆24Updated 3 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆85Updated 2 years ago
- List of Publications in Graph Contrastive Learning☆35Updated 2 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆123Updated last year
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆35Updated last year
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 2 years ago
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆44Updated 3 years ago