LiamMa / GRITLinks
This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
☆126Updated 7 months ago
Alternatives and similar repositories for GRIT
Users that are interested in GRIT are comparing it to the libraries listed below
Sorting:
- Edge-Augmented Graph Transformer☆78Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆163Updated last year
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆103Updated 2 years ago
- ☆30Updated 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
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆63Updated 2 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆262Updated 3 years ago
- ☆213Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆59Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 4 months ago
- Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric☆149Updated last year
- Implementation for the paper: GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation☆29Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- Official Pytorch code for Structure-Aware Transformer.☆259Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆200Updated 5 months ago
- ☆155Updated 3 years 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
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆38Updated 6 months ago
- Representing Long-Range Context for Graph Neural Networks with Global Attention☆131Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆41Updated 2 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year