Jpickard1 / Hypergraph-Analysis-ToolboxLinks
A software for hypergraph and multi-way network analysis π
β33Updated 5 months ago
Alternatives and similar repositories for Hypergraph-Analysis-Toolbox
Users that are interested in Hypergraph-Analysis-Toolbox are comparing it to the libraries listed below
Sorting:
- Code for the paper "Higher-order motif analysis in hypergraphs"β33Updated 3 years ago
- β20Updated 5 years ago
- Probabilistic generative model for mixed-membership community detection in hypergraphs, that also allows to infer missing hyperedges of aβ¦β30Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtworkβ19Updated 2 years ago
- β61Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.β73Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applicationsβ¦β54Updated 3 years ago
- GraphFramEx: a systematic evaluation framework for explainability methods on GNNsβ49Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepteβ¦β144Updated 11 months ago
- Library of python functions for the analysis of hypergraphs.β15Updated 11 months ago
- Code for our paper "Attending to Graph Transformers"β92Updated 2 years ago
- Disease subnetwork detection with explainable Graph Neural Networksβ26Updated last year
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.β20Updated 2 years ago
- HGX is a multi-purpose, open-source Python library for higher-order network analysisβ289Updated 3 weeks ago
- The multiplex network of human diseasesβ15Updated 6 months ago
- PyGenStability: Multiscale community detection with generalized Markov Stabilityβ46Updated 2 months ago
- Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.β18Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.β82Updated 2 years ago
- Accelerating Network Layouts Using Graph Neural Networksβ26Updated 2 years ago
- hypergraph representation learning, graph neural networkβ101Updated last year
- Embedding graphs in symmetric spacesβ30Updated 4 years ago
- Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)β18Updated 2 years ago
- CompleX Group Interactions (XGI) is a Python package for higher-order networks.β231Updated 2 weeks ago
- Temporal Graph Analysis with TGXβ27Updated 8 months ago
- official code for I2GNN.β13Updated 2 years ago
- Hierarchical Graph Clustering using Node Pair Sampling (MLG, KDD Workshop) - Multi-scale Clustering in Graphs using Modularity (DiVA)β16Updated 5 years ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.β18Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainersβ203Updated last year
- Hypergraph Factorisationβ26Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022β32Updated 2 years ago