ansonb / FeTA_TMLR
This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
☆11Updated 2 years ago
Alternatives and similar repositories for FeTA_TMLR:
Users that are interested in FeTA_TMLR are comparing it to the libraries listed below
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated last year
- Signal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory☆11Updated 2 years ago
- Graph Transformers for Large Graphs☆20Updated 10 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated 8 months ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆14Updated last year
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated 7 months ago
- The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 2 years ago
- ☆29Updated 2 years ago
- Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.☆20Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 2 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆13Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- ☆12Updated 3 years ago
- PyTorch Codes for Haar Graph Pooling☆11Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 6 months ago
- Official Implementation of Graph Mixer Networks☆20Updated last year
- ☆13Updated 4 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆21Updated 3 years ago
- ☆26Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆15Updated 3 years ago
- ☆13Updated 4 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- ☆10Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Simplicial neural network benchmarking software☆17Updated 2 years ago
- ☆14Updated 2 years ago