BenGutteridge / DRewLinks
☆31Updated last year
Alternatives and similar repositories for DRew
Users that are interested in DRew are comparing it to the libraries listed below
Sorting:
- ☆42Updated 3 years ago
- ☆23Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Updated 3 months ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- ☆21Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 10 months ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆61Updated 3 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆46Updated 2 weeks ago
- Random walk unit with memory☆23Updated last year
- GraphCON (ICML 2022)☆59Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- A library for subgraph GNN based on pyg☆40Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆84Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆167Updated last year
- Official implementation for paper: Probabilistically Rewired Message-Passing Neural Networks, accepted at ICLR 2024.☆21Updated 3 weeks ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆49Updated last year
- List of papers on NeurIPS2023☆90Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆85Updated last year
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆84Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆105Updated 2 years ago