thunlp / OpenGCLLinks
☆21Updated 4 years ago
Alternatives and similar repositories for OpenGCL
Users that are interested in OpenGCL are comparing it to the libraries listed below
Sorting:
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆59Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 4 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆82Updated 4 years ago
- Source code of "IJCAI20 - Network Schema Preserving Heterogeneous Information Network Embedding"☆25Updated 5 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Updated 3 years ago
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆68Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 3 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Updated 3 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Updated 2 years ago
- ☆32Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆59Updated 4 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆92Updated 4 years ago
- ☆30Updated 5 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Updated 4 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)☆48Updated 6 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆107Updated 7 months ago
- ☆77Updated 4 years ago
- The official pytorch implementation of Propagation_then_Training for graph (https://arxiv.org/abs/2010.12408)☆26Updated 4 years ago
- The source code of HeCo☆171Updated 3 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Updated 3 years ago
- Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Updated 4 years ago
- HDGI code☆63Updated 5 years ago