inria-thoth / GraphiT
Official Pytorch Implementation of GraphiT
☆106Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraphiT
- ☆148Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆85Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆115Updated 3 years ago
- SignNet and BasisNet☆95Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆153Updated 11 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆91Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆245Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆80Updated 11 months ago
- Graph Positional and Structural Encoder☆42Updated last month
- ☆62Updated 4 years ago
- Gradient gating (ICLR 2023)☆52Updated last year
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆123Updated 2 years ago
- Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2☆198Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆60Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆23Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆23Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆53Updated last year
- ☆59Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆119Updated 3 months ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆57Updated 2 years ago
- Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attri…☆67Updated last year
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆76Updated 3 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆40Updated 2 years ago
- Implicit Graph Neural Networks☆59Updated 2 years ago
- Edge-Augmented Graph Transformer☆72Updated 8 months ago
- Graph Data Augmentation Library for PyTorch Geometric☆128Updated 2 years ago
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆101Updated 2 years ago