bowang-lab / Graph-Mamba
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
☆259Updated 11 months ago
Alternatives and similar repositories for Graph-Mamba:
Users that are interested in Graph-Mamba are comparing it to the libraries listed below
- ☆105Updated 10 months ago
- ☆331Updated 8 months ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆154Updated 8 months ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 3 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆39Updated last month
- ☆182Updated last year
- Accompanied repositories for our paper Graph foundation model☆172Updated 2 months ago
- Exphormer: Sparse Transformer for Graphs☆164Updated 10 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆299Updated 10 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆172Updated 3 months ago
- ☆48Updated 2 months ago
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆39Updated 7 months ago
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆181Updated 2 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆110Updated last month
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆146Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆112Updated 10 months ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆209Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆82Updated 2 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆86Updated 7 months ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 3 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆41Updated 5 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆154Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆252Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆181Updated 2 weeks ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆699Updated 6 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆488Updated last year
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆226Updated 5 months ago
- Official PyTorch implementation of SGRL in 'Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering' …☆20Updated this week
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆199Updated 8 months ago
- Implementation of GraphKan with torch geometrics and its application on signal classification☆57Updated 7 months ago