CameronDiao / relational-transformerLinks
☆32Updated 2 years ago
Alternatives and similar repositories for relational-transformer
Users that are interested in relational-transformer are comparing it to the libraries listed below
Sorting:
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- ☆122Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- Official Pytorch Implementation of GraphiT☆108Updated 4 years ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Updated last year
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆341Updated 2 years ago
- Exphormer: Sparse Transformer for Graphs☆187Updated last year
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Updated last year
- Graph Positional and Structural Encoder☆53Updated 8 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year
- ☆38Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆35Updated 3 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆164Updated last year
- Edge-Augmented Graph Transformer☆79Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆264Updated 3 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆15Updated 6 months ago
- Transformer-based Spectral Graph Neural Networks☆85Updated 11 months ago
- List of papers on ICML2023.☆55Updated 2 years ago
- Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)☆41Updated 2 years ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆129Updated 3 years ago
- Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)☆69Updated 2 years ago
- Official implementation of A* Networks☆147Updated 2 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆74Updated 3 years ago
- Code for paper Fully Hyperbolic Neural Networks☆82Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024☆26Updated 6 months ago
- Graph Transformers for Large Graphs☆22Updated last year