Alternatives and similar repositories for jax-gcn

Users that are interested in jax-gcn are comparing it to the libraries listed below

• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆80Updated 4 years ago
• lucidrains / molecule-attention-transformer
  Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
  ☆59Updated 4 years ago
• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆74Updated 4 years ago
• gerkone / segnn-jax
  Steerable E(3) GNN in jax
  ☆24Updated last year
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆31Updated 5 years ago
• google-deepmind / flows_for_atomic_solids
  ☆51Updated 2 years ago
• ngruver / lie-deriv
  ☆38Updated 2 years ago
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆29Updated 5 years ago
• maxxxzdn / jax-geometric
  Implementation of various equivariant models in JAX
  ☆12Updated last year
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• buwantaiji / FermiFlow
  Ab-initio simulation of interacting fermions with equivariant normalizing flow.
  ☆34Updated 2 years ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆14Updated 4 years ago
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆36Updated 3 months ago
• noegroup / rigid-flows
  ☆11Updated last year
• mcbal / afem
  Implementation of approximate free-energy minimization in PyTorch
  ☆19Updated 3 years ago
• senya-ashukha / simple-equivariant-gnn
  A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
  ☆131Updated 3 years ago
• jaanli / hierarchical-variational-models-physics
  Hierarchical variational models for physics.
  ☆17Updated 5 years ago
• mbilos / stribor
  Library for normalizing flows and neural flows.
  ☆24Updated 3 years ago
• lucidrains / lie-transformer-pytorch
  Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch
  ☆92Updated 4 years ago
• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 3 years ago
• sooheon / perceiver-jax
  Perceiver (transformer variant) implemented in JAX and Flax
  ☆12Updated 4 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• JSC370 / jsc370.github.io
  Course Website
  ☆9Updated 3 years ago
• TUM-DAML / synthetic_coordinates
  Synthetic coordinates for GNNs, as proposed in "Directional Message Passing on Molecular Graphs via Synthetic Coordinates" (NeurIPS 2021)
  ☆30Updated 2 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• ibm-research-tokyo / graph_grammar
  Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"
  ☆39Updated 6 months ago
• alexOarga / haiku-geometric
  A collection of graph neural networks implementations in JAX
  ☆32Updated last year
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆27Updated 8 months ago
• Ryan-Rhys / FlowMO
  Library for training Gaussian Processes on Molecules
  ☆36Updated 3 years ago