topolearn / topo-clusteringLinks
Fast Topological Clustering with Wasserstein Distance (ICLR 2022)
☆12Updated 3 years ago
Alternatives and similar repositories for topo-clustering
Users that are interested in topo-clustering are comparing it to the libraries listed below
Sorting:
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Updated 2 years ago
- Implementation of Implicit Graphon Neural Representation☆12Updated 2 years ago
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆19Updated 2 years ago
- Source code for ICDM 2022 paper "Set2Box: Similarity Preserving Representation Learning for Sets."☆14Updated 2 years ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- Python-based persistent homology algorithms☆19Updated 2 years ago
- ☆11Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- WWW22 - MiDaS: Representative Hypergraph Sampling☆13Updated last year
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Updated 4 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Code accompanying the AAAI 2022 paper "fGOT: Graph Distances based on Filters and Optimal Transport"☆15Updated 2 years ago
- ☆18Updated 2 years ago
- MetA-Train to Explain☆18Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 3 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 3 years ago
- Lorentzian Distance Learning for Hyperbolic Representations: Retrieval experiments☆13Updated 6 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆27Updated 2 years ago