Alternatives and similar repositories for HypergraphEmbedding:

Users that are interested in HypergraphEmbedding are comparing it to the libraries listed below

• galanisl / NetHypGeom
  Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.
  ☆26Updated 6 years ago
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆40Updated 3 years ago
• shan1322 / Hyperwalk
  embeddings for hyperedges in a hypergraph
  ☆7Updated 5 years ago
• IBPA / GNN
  Gene Neural Network (GNN)
  ☆11Updated 5 years ago
• NaazS03 / cgSpan
  Python implementation of closed frequent subgraph mining algorithm cgSpan. Only undirected graphs are currently supported.
  ☆10Updated 3 years ago
• Graph-COM / SUREL_Plus
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
  ☆17Updated 2 weeks ago
• anomic1911 / gcn-graphsage-benchmarking
  This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.
  ☆10Updated 5 years ago
• Jpickard1 / Hypergraph-Analysis-Toolbox
  A software for hypergraph and multi-way network analysis 🌐
  ☆28Updated last month
• uestc-lese / SPGRL
  ☆17Updated 2 years ago
• HongtengXu / s-gwl
  Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
  ☆43Updated 5 years ago
• KarypisLab / PM4GNN
  Graph partitioning for distributed GNN training
  ☆13Updated 2 years ago
• RingBDStack / dynamic_network_embedding
  ☆12Updated 6 years ago
• palash1992 / GEM-Benchmark
  Benchmark for Graph Embedding Methods
  ☆47Updated 4 years ago
• MarcTLaw / UltrahyperbolicRepresentation
  Ultrahyperbolic Representation Learning
  ☆12Updated 4 years ago
• ArnoVel / structure-identification
  Uses several statistical tests / algorithms on marginal / conditional distributions
  ☆8Updated last year
• FFrankyy / DrBC
  DrBC: A novel graph neural network approach to identify high Betweenness Centraliy (BC) nodes ( CIKM'19 )
  ☆32Updated 4 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• r3kall / FastCommunityDetection
  Finding community structure in very large networks, by Clauset-Newman-Moore
  ☆15Updated 7 years ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆17Updated last year
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• shi27feng / transformers.satisfy
  propositional satisfiability problem (SAT) goes neural and deep
  ☆12Updated 3 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• giuliacassara / awesome-hypergraph-learning
  A curated list of awesome Hypergraph Learning frameworks, libraries and software.
  ☆22Updated last year
• floklimm / hypergraph
  Library of python functions for the analysis of hypergraphs.
  ☆12Updated 2 months ago
• radoslav11 / SP-MPNN
  Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".
  ☆25Updated 2 years ago
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 2 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• adityat / fastconsensus
  Fast consensus clustering in networks
  ☆22Updated 7 months ago
• gaoji7777 / walign
  Wasserstein Distance Graph Alignment
  ☆23Updated 4 years ago
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆16Updated last year