XiaoxinHe / Graph-ViT-MLPMixerLinks
Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"
☆159Updated last year
Alternatives and similar repositories for Graph-ViT-MLPMixer
Users that are interested in Graph-ViT-MLPMixer are comparing it to the libraries listed below
Sorting:
- Transformer-based Spectral Graph Neural Networks☆83Updated 8 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆131Updated 3 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆125Updated 6 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- ☆156Updated 3 years ago
- Official Pytorch code for Structure-Aware Transformer.☆257Updated 2 years ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆28Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆309Updated last year
- A graph transformer framework☆77Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆257Updated 3 years ago
- Edge-Augmented Graph Transformer☆77Updated last year
- Code for our paper "Attending to Graph Transformers"☆88Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆163Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆101Updated 4 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆58Updated 2 years ago
- List of papers on NeurIPS2023☆89Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆205Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 7 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 3 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Updated 2 months ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 2 months ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…☆172Updated last year