YuGuangWang / HaarPoolLinks
PyTorch Codes for Haar Graph Pooling
☆11Updated 2 years ago
Alternatives and similar repositories for HaarPool
Users that are interested in HaarPool are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- ☆12Updated 4 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- ☆35Updated 5 years ago
- Official implementation of "Non-Local Graph Neural Networks" [TPAMI]☆22Updated 2 years ago
- ☆35Updated 2 years ago
- ☆17Updated 2 years ago
- ☆12Updated 5 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆15Updated 3 years ago
- ☆10Updated 3 years ago
- ☆4Updated 2 years ago
- ☆28Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 2 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- ☆31Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 4 years ago
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 2 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- ☆11Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆16Updated 9 months ago
- Official repository for Cell Attention Networks☆14Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 2 months ago
- The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…☆21Updated last year