Alternatives and similar repositories for Graph_AE

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

• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 5 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆125Updated 3 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 3 years ago
• priba / graph_metric.pytorch
  Graph Metric Learning in PyTorch
  ☆10Updated 4 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 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
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆63Updated 6 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 4 years ago
• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆67Updated 3 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆104Updated 3 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 3 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆23Updated 2 years ago
• BorgwardtLab / MotiFiesta
  Approximate subgraph motif mining through learnable edge contraction.
  ☆15Updated 2 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆73Updated 6 years ago
• fedelopez77 / sympa
  Embedding graphs in symmetric spaces
  ☆30Updated 4 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆78Updated 7 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• sw-gong / MoNet
  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
  ☆58Updated 6 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago
• F-Bekerman / Graph-VAE
  ☆46Updated 8 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• se-ok / WLsimilarity
  informal exposition of Weisfeiler-Leman similarity
  ☆28Updated 4 years ago
• junhocho / HGCAE
  HGCAE Pytorch implementation. CVPR2021 accepted.
  ☆44Updated 2 years ago
• balcilar / Spectral-Designed-Graph-Convolutions
  Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
  ☆50Updated 4 years ago
• MarcTLaw / UltrahyperbolicRepresentation
  Ultrahyperbolic Representation Learning
  ☆13Updated 5 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆43Updated 2 years ago
• rampasek / HGNet
  Hierarchical Graph Net
  ☆37Updated 4 years ago