PierreHao / YouGraphLinks
graph learning code for ogb
☆24Updated 4 years ago
Alternatives and similar repositories for YouGraph
Users that are interested in YouGraph are comparing it to the libraries listed below
Sorting:
- Code of Heterogeneous interpolation on graph, which is a solution for OGB challenge☆18Updated 4 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 4 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL☆35Updated 11 months 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
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆27Updated 4 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Updated 9 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆62Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆120Updated 2 years ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆70Updated 10 months ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- OOD Dataset Curator and Benchmark for AI-aided Drug Discovery☆168Updated 3 years ago
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- ☆62Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆107Updated 4 years ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 4 years ago
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Updated last year
- Code for paper "Mixup for Node and Graph Classification", WWW 2021☆47Updated 4 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago