benfinkelshtein / EquivarianceEverywhereLinks
☆13Updated 7 months ago
Alternatives and similar repositories for EquivarianceEverywhere
Users that are interested in EquivarianceEverywhere are comparing it to the libraries listed below
Sorting:
- [ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch☆17Updated 11 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- Published as a conference paper at ICLR 2024☆28Updated last year
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- ☆35Updated 7 months ago
- ☆14Updated 3 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 3 years ago
- A PyG-based package of spectral GNNs with benchmark evaluations (SIGMOD 2026).☆19Updated 5 months ago
- [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?☆15Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Updated 2 years ago
- Graph Neural Convection-Diffusion with Heterophily☆11Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆18Updated 2 years ago
- Temporal Graph Rewiring Method with Expander Graphs☆12Updated last year
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆12Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last month
- Graph Transformers for Large Graphs☆22Updated last year
- virtual node analysis on ogb benchmark dataset☆14Updated 2 years ago
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated 2 years ago
- [CIKM 2023 Short] Code for the paper "S-Mixup: Structural Mixup for Graph Neural Networks"☆18Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- 🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024☆22Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 3 years ago
- ☆26Updated last year
- ☆15Updated 3 years ago
- ☆13Updated last year