GraphMamba / GMNLinks
☆118Updated last year
Alternatives and similar repositories for GMN
Users that are interested in GMN are comparing it to the libraries listed below
Sorting:
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆299Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 10 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆45Updated last year
- ☆56Updated 8 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆46Updated 7 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆47Updated 11 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆34Updated last month
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 4 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆131Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Updated 7 months ago
- SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces (To appear in Spatio-Temporal Reasoning …☆37Updated 7 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 9 months ago
- List of papers on NeurIPS2023☆89Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated 7 months ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆100Updated last year
- A curated list of papers on graph structure learning (GSL).☆49Updated 7 months ago
- A collection of resources on attention-based graph neural networks☆77Updated last year
- ☆34Updated 4 months ago
- ☆32Updated 7 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆52Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- ☆20Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆128Updated last year
- ☆50Updated 2 weeks ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year