jw9730 / ehnnLinks
[ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
☆30Updated 2 years ago
Alternatives and similar repositories for ehnn
Users that are interested in ehnn are comparing it to the libraries listed below
Sorting:
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆50Updated last year
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆73Updated 4 months ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last week
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 6 months ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆68Updated 3 years ago
- Edge-Augmented Graph Transformer☆51Updated 3 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Updated last year
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- ☆32Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆28Updated 5 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆132Updated 3 years ago
- [Preprint] Graph State Space Convolution (GSSC)☆14Updated last year
- Edge-Augmented Graph Transformer☆80Updated last year
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆40Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Updated 4 months ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆62Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Updated 5 years ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆57Updated 2 years ago