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
• PhilChodrow / HypergraphModularity
  Code for generative hypergraph clustering via modularity-like objective functions.
  ☆26Updated 3 years ago
• manhtuando97 / KDD-20-Hypergraph
  Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"
  ☆32Updated last year
• 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
• PurdueMINDS / RelationalPooling
  ☆35Updated 6 years ago
• twitter-research / sign
  SIGN: Scalable Inception Graph Network
  ☆95Updated 5 years ago
• ferencberes / online-node2vec
  Node Embeddings in Dynamic Graphs
  ☆57Updated 4 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• arbenson / ScHoLP-Data
  Data for the paper "Simplicial closure and higher-order link prediction"
  ☆24Updated 7 years ago
• yunbum-kook / icdm20-hyperff
  ☆13Updated 5 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 4 years ago
• facebookresearch / NARS
  Scalable Graph Neural Networks for Heterogeneous Graphs
  ☆72Updated 5 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated 2 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆62Updated 4 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆35Updated 4 years ago
• 000Justin000 / gnn-residual-correlation
  ☆21Updated 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
• houchengbin / GloDyNE
  GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…
  ☆65Updated 4 years ago
• urielsinger / tNodeEmbed
  tNodeEmbed
  ☆79Updated 3 years ago
• nveldt / HypergraphHomophily
  ☆12Updated 3 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆83Updated last year
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• spindro / AP-GCN
  Adaptive Propagation Graph Convolutional Network
  ☆24Updated 5 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 6 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• twistedcubic / HNHN
  Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.
  ☆45Updated 5 years ago