TencentYoutuResearch / HIG-GraphClassification
Code of Heterogeneous interpolation on graph, which is a solution for OGB challenge
☆16Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for HIG-GraphClassification
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆40Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆35Updated 5 months ago
- graph learning code for ogb☆24Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆77Updated 3 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆65Updated 7 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆18Updated 2 years ago
- Edge-Augmented Graph Transformer☆48Updated 2 years ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆17Updated 8 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆50Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆40Updated 2 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 2 years ago
- ☆50Updated 3 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆31Updated 8 months ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆112Updated last year
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Updated 8 months ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 2 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Active learning☆27Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆110Updated 2 months ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆119Updated 4 months ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆44Updated 10 months ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated last year
- Heterogeneous Molecular Graph Neural Network☆28Updated 4 years ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆42Updated 2 years ago