Alternatives and similar repositories for PAN

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

• jw9730 / hot
  [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
  ☆68Updated 2 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆30Updated 3 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 3 years ago
• congliuUvA / Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
  The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024
  ☆11Updated last year
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆43Updated 3 years ago
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆18Updated 10 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆21Updated 2 years ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆14Updated last year
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆37Updated 5 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆63Updated 6 years ago
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆20Updated 3 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• yuanqing-wang / rum
  Random walk unit with memory
  ☆23Updated last year
• HyTruongSon / MGVAE
  Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
  ☆24Updated last year
• tufts-ml / G2PT
  Graph generative pre-trained transformer
  ☆18Updated 5 months ago
• gbouritsas / PnC
  Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952
  ☆35Updated 4 years ago
• gregversteeg / esh_dynamics
  Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling
  ☆36Updated 4 years ago
• ermongroup / GraphScoreMatching
  Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling
  ☆114Updated 2 years ago
• toenshoff / LRGB
  ☆23Updated last year
• aGIToz / Pytorch_pdegraph
  Running PDEs on graph
  ☆29Updated 3 years ago
• RobDHess / Steerable-E3-GNN
  E(3) Steerable Graph Neural Network
  ☆124Updated 2 years ago
• cptq / SignNet-BasisNet
  SignNet and BasisNet
  ☆101Updated 2 years ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆81Updated 4 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated 2 years ago
• hadarser / SetToGraphPaper
  SetToGraph paper repository
  ☆22Updated 5 years ago
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆54Updated 5 months ago
• take-koshizuka / NLSB
  ☆20Updated 9 months ago
• BorgwardtLab / ggme
  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…
  ☆14Updated 3 years ago