jw9730 / hot
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
☆65Updated 2 years ago
Alternatives and similar repositories for hot:
Users that are interested in hot are comparing it to the libraries listed below
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆55Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated last year
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last year
- ☆30Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- SignNet and BasisNet☆96Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆44Updated 7 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)☆103Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Graph Positional and Structural Encoder☆46Updated last month
- ☆20Updated last year
- Official Pytorch Implementation of GraphiT☆108Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated 11 months ago
- ☆21Updated 11 months ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- ☆62Updated 4 years ago
- A library for subgraph GNN based on pyg☆41Updated 3 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆68Updated 11 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆128Updated 2 years ago
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆16Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators.☆35Updated last year
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 11 months ago
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆167Updated last year