lrnzgiusti / can
Official repository for Cell Attention Networks
☆14Updated 8 months ago
Related projects: ⓘ
- Official Repository for Simplicial Attention Networks☆26Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆12Updated last year
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- ☆20Updated 5 months ago
- Simplicial neural network benchmarking software☆16Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated 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
- ☆29Updated 9 months ago
- Official Repository of Adaptive Message Passing☆15Updated 5 months ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆19Updated 9 months ago
- ☆15Updated 9 months ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆15Updated last month
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated 7 months ago
- A library for subgraph GNN based on pyg☆39Updated 3 months ago
- Differentiable Euler Characteristic Transform☆17Updated 3 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆64Updated 11 months ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆37Updated 2 months ago
- Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Long-Range and Hierarchical Structures☆19Updated 10 months ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆24Updated 2 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…☆14Updated 2 years ago
- Python-based persistent homology algorithms☆18Updated last year
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆30Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆67Updated last year
- Computational and Applied Topology List☆18Updated last month
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆25Updated 2 years ago
- ☆15Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators.