shamim-hussain / egt
Edge-Augmented Graph Transformer
☆48Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for egt
- Edge-Augmented Graph Transformer☆72Updated 9 months ago
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆44Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆54Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆123Updated 2 years ago
- Graph Positional and Structural Encoder☆42Updated last month
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆34Updated 5 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆17Updated 8 months ago
- [NeurIPS'23] Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. Haotao Wang, Ziyu Jiang, Yuning Y…☆34Updated 11 months ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆77Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆82Updated 8 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆40Updated 2 years ago
- ☆37Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆100Updated last month
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆83Updated 5 months ago
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆23Updated last year
- ☆149Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- A graph transformer framework☆75Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆50Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆37Updated 3 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆115Updated 3 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆79Updated 3 weeks ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆62Updated 11 months ago
- This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".☆12Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆109Updated 2 months ago