Alternatives and similar repositories for HypergraphFlowClustering

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

• arbenson / ScHoLP-Tutorial
  Tutorial for the ScHoLP.jl library and reproducing results from the accompanying paper.
  ☆43Updated 6 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆32Updated last year
• PhilChodrow / HypergraphModularity
  Code for generative hypergraph clustering via modularity-like objective functions.
  ☆26Updated 3 years ago
• yunbum-kook / icdm20-hyperff
  ☆13Updated 4 years ago
• TheGravLab / A-Unifying-Framework-for-Spectrum-Preserving-Graph-Sparsification-and-Coarsening
  Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)
  ☆16Updated 5 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆41Updated 3 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆44Updated 5 years ago
• shenyangHuang / LAD
  Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)
  ☆29Updated 2 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 6 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• sbarakat / graph-partitioning
  This repository contains research into the use of graph partitioning algorithms for assigning people shelters based on their social netwo…
  ☆18Updated 6 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 5 years ago
• cornell-zhang / GraphZoom
  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)
  ☆114Updated 2 years ago
• muhanzhang / NestedGNN
  ☆57Updated 4 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• jdmoorman / uclasm
  Subgraph matching and isomorphisms in Python.
  ☆28Updated 3 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• arbenson / ScHoLP-Data
  Data for the paper "Simplicial closure and higher-order link prediction"
  ☆24Updated 7 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 2 years ago
• nveldt / HypergraphHomophily
  ☆12Updated 3 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 4 years ago
• flyingdoog / RWM
  Local Community Detection in Multiple Netwrks
  ☆16Updated 10 months ago
• YuGuangWang / HaarPool
  PyTorch Codes for Haar Graph Pooling
  ☆11Updated 2 years ago
• simondelarue / dynGNN
  Representation and learning framework for dynamic graphs using Graph Neural Networks.
  ☆12Updated 3 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 5 years ago