This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
☆133Aug 20, 2025Updated last year
Alternatives and similar repositories for GRIT
Users that are interested in GRIT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Recipe for a General, Powerful, Scalable Graph Transformer☆883Jul 4, 2024Updated 2 years ago
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆32Aug 5, 2024Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆18May 19, 2025Updated last year
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Aug 22, 2023Updated 3 years ago
- Official Pytorch implementation of Chromatic Graph Transformers☆10Jun 14, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Exphormer: Sparse Transformer for Graphs☆194Feb 26, 2024Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Apr 22, 2024Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Jul 25, 2023Updated 3 years ago
- Transformer-based Spectral Graph Neural Networks☆88Oct 7, 2024Updated 2 years ago
- Graph Positional and Structural Encoder☆57Jan 24, 2025Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆165Nov 28, 2023Updated 2 years ago
- Random walk unit with memory☆21Sep 26, 2024Updated 2 years ago
- Papers about graph transformers.☆932Mar 19, 2025Updated last year
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆60Dec 20, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆42Jun 4, 2023Updated 3 years ago
- SignNet and BasisNet☆101Jul 25, 2023Updated 3 years ago
- Official Pytorch code for Structure-Aware Transformer.☆268Feb 21, 2023Updated 3 years ago
- Edge-Augmented Graph Transformer☆52Jun 7, 2022Updated 4 years ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆41Jun 25, 2025Updated last year
- Triplet Graph Transformer☆54Sep 17, 2025Updated last year
- Papers about hypergraph, their applications, and even similar ideas.☆20Nov 15, 2021Updated 4 years ago
- ☆32Jan 20, 2026Updated 9 months ago
- ☆31Dec 13, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆10Jul 30, 2023Updated 3 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆350Apr 11, 2023Updated 3 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆107Mar 12, 2024Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆137Mar 5, 2024Updated 2 years ago
- Representing Molecules over Interpretable Grammars (ICML 2024 Spotlight)☆12Oct 22, 2026Updated last week
- ☆11Apr 8, 2023Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90May 21, 2023Updated 3 years ago
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆286Nov 13, 2025Updated 11 months ago
- Edge-Augmented Graph Transformer☆82Feb 16, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆312Jul 2, 2025Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆50May 22, 2024Updated 2 years ago
- ☆22Nov 20, 2022Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆91Nov 20, 2023Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Mar 4, 2024Updated 2 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,727Feb 2, 2024Updated 2 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Feb 7, 2023Updated 3 years ago