TencentYoutuResearch / HIG-GraphClassificationLinks
Code of Heterogeneous interpolation on graph, which is a solution for OGB challenge
☆18Updated 4 years ago
Alternatives and similar repositories for HIG-GraphClassification
Users that are interested in HIG-GraphClassification are comparing it to the libraries listed below
Sorting:
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆72Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 3 years ago
- graph learning code for ogb☆24Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆155Updated 4 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 3 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 4 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Edge-Augmented Graph Transformer☆80Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆127Updated 2 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆83Updated 4 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 3 years ago
- ☆32Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆46Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 3 months ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Updated 10 months ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Updated 3 years ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆69Updated 11 months ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 4 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