PierreHao / YouGraph
graph learning code for ogb
☆24Updated 3 years ago
Alternatives and similar repositories for YouGraph:
Users that are interested in YouGraph are comparing it to the libraries listed below
- Code of Heterogeneous interpolation on graph, which is a solution for OGB challenge☆18Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 3 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆36Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- ☆62Updated 4 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 3 months ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆45Updated 4 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆42Updated last year
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆21Updated 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
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆41Updated 3 weeks ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆110Updated last year
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated 2 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆12Updated last year
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆45Updated 3 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Updated last year
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- ☆22Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago