BenGutteridge / DRew
☆31Updated last year
Alternatives and similar repositories for DRew:
Users that are interested in DRew are comparing it to the libraries listed below
- ☆20Updated last year
- ☆21Updated last year
- Gradient gating (ICLR 2023)☆53Updated last year
- A library for subgraph GNN based on pyg☆41Updated 4 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- Graph Positional and Structural Encoder☆46Updated 2 months ago
- ☆40Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆41Updated 2 weeks ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆85Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆12Updated 10 months ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆56Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- GraphCON (ICML 2022)☆58Updated 2 years ago
- ☆18Updated last year
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆14Updated 5 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆77Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆42Updated 2 years ago
- Random walk unit with memory☆20Updated 6 months ago
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆29Updated last week
- Edge-Augmented Graph Transformer☆76Updated last year
- Official implementation for paper: Probabilistically Rewired Message-Passing Neural Networks, accepted at ICLR 2024.☆20Updated 2 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- ☆27Updated 3 years ago
- SignNet and BasisNet☆97Updated last year
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆18Updated last year
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago