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☆47Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆35Updated 2 months ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆164Updated last year
- Transformer-based Spectral Graph Neural Networks☆85Updated 11 months ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆24Updated 3 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆66Updated last month
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated 2 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Updated 4 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Edge-Augmented Graph Transformer☆78Updated last year
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- ☆31Updated last year
- ☆119Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆158Updated last year
- Code for our paper "Attending to Graph Transformers"☆90Updated last year
- CIKM2022: source code for "hypergraph learning with line expansion" paper☆20Updated 2 years ago
- ☆18Updated last year
- ☆57Updated 10 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- Official Implementation of Graph Mixer Networks☆20Updated last year