haguettaz / ChebLieNet
ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
☆17Updated 7 months ago
Alternatives and similar repositories for ChebLieNet:
Users that are interested in ChebLieNet are comparing it to the libraries listed below
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- Differentiable Euler Characteristic Transform☆17Updated 9 months ago
- Python-based persistent homology algorithms☆19Updated last year
- ☆17Updated last year
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- Path integral based convolution and pooling☆29Updated 2 years ago
- ☆28Updated 7 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆70Updated 2 years ago
- ☆17Updated 2 years ago
- ☆12Updated 3 years ago
- Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"☆11Updated 2 years ago
- Ultrahyperbolic Representation Learning☆12Updated 4 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆16Updated last year
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- ☆12Updated 4 years ago
- Code for "Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation" @ NeurIPS 2023☆13Updated last year
- Reference implementation for "Group Equivariant Subsampling"☆16Updated 3 years ago
- ☆27Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆24Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆12Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Fork of the E2CNN library that adds support for equivariant partial differential operators☆17Updated 2 years ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated last week