Fedzbar / laser-releaseLinks
☆16Updated 7 months ago
Alternatives and similar repositories for laser-release
Users that are interested in laser-release are comparing it to the libraries listed below
Sorting:
- FoSR: First-order spectral rewiring for addressing oversquashing in GNNs☆9Updated 2 years ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- Temporal Graph Rewiring Method with Expander Graphs☆12Updated 9 months ago
- ☆22Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Graph Neural Convection-Diffusion with Heterophily☆11Updated 2 years ago
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆20Updated 10 months ago
- ☆31Updated last year
- List of papers on NeurIPS2023☆89Updated last year
- A list for GNNs and related works.☆95Updated 2 weeks ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- ☆18Updated last year
- ☆12Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆56Updated 2 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
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆38Updated 2 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Updated 6 months ago
- ☆89Updated last year
- Official implementation for paper: Probabilistically Rewired Message-Passing Neural Networks, accepted at ICLR 2024.☆21Updated 5 months ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated 2 years ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆29Updated 3 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆46Updated 11 months ago
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- ☆40Updated 3 years ago
- ☆47Updated 11 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆73Updated 2 months ago
- ☆41Updated 2 years ago