Alternatives and similar repositories for graph-normalizing-flows:

Users that are interested in graph-normalizing-flows are comparing it to the libraries listed below

• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆110Updated last year
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• phlippe / CategoricalNF
  Official repository for "Categorical Normalizing Flows via Continuous Transformations"
  ☆56Updated 3 years ago
• ermongroup / graphite
  Code for Graphite iterative graph generation
  ☆59Updated 5 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago
• KarolisMart / SPECTRE
  Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …
  ☆26Updated 2 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆103Updated 5 years ago
• cvignac / SMP
  ☆26Updated 3 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆60Updated 4 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆54Updated 3 years ago
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆123Updated last year
• uoguelph-mlrg / GGM-metrics
  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"
  ☆25Updated 3 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 2 years ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆95Updated last year
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆53Updated 2 years ago
• vgsatorras / en_flows
  ☆60Updated 2 years ago
• idea-iitd / graphgen
  GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation
  ☆51Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 3 years ago
• harryjo97 / GDSS
  Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (I…
  ☆158Updated last year
• AaltoPML / Rethinking-pooling-in-GNNs
  ☆62Updated 4 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆92Updated 2 years ago
• BenGutteridge / DRew
  ☆30Updated last year
• mlelarge / graph_neural_net
  Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)
  ☆38Updated last year
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆86Updated last year
• yuanqidu / GraphGT
  ☆60Updated 2 years ago
• lsj2408 / GraphNorm
  [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)
  ☆103Updated 2 years ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆19Updated last year