Alternatives and similar repositories for PAN:

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

• risilab / Autobahn
  Repository for Autobahn: Automorphism Based Graph Neural Networks
  ☆29Updated 3 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• divelab / MFA
  Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.
  ☆17Updated 3 months ago
• tufts-ml / graph-generation-vi
  This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…
  ☆28Updated 2 years ago
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆53Updated last week
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• hanjq17 / GMN
  [ICLR 2022] The implementation for the paper "Equivariant Graph Mechanics Networks with Constraints".
  ☆60Updated 10 months ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆73Updated 3 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• DeepGraphLearning / GraphAF
  ☆54Updated 3 years ago
• HyTruongSon / MGVAE
  Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967
  ☆20Updated 5 months ago
• clabat9 / Tangent-Bundle-Neural-Networks
  Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
  ☆11Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 10 months ago
• congliuUvA / Clifford-Group-Equivariant-Simplicial-Message-Passing-Networks
  The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024
  ☆10Updated 11 months ago
• maxxxzdn / erwin
  Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
  ☆48Updated last week
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 5 months ago
• microsoft / two-for-one-diffusion
  This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and forc…
  ☆60Updated 11 months ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• vgsatorras / en_flows
  ☆60Updated 3 years ago
• nimadehmamy / L-conv-code
  Lie Algebra Convolutional Network implementation
  ☆44Updated 3 years ago
• lollcat / se3-augmented-coupling-flows
  SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.
  ☆24Updated last year
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆31Updated last year
• rochesterxugroup / DSGPM
  Deep Supervised Graph Partitioning Model
  ☆14Updated 3 years ago
• graphcore / ogb-lsc-pcqm4mv2
  The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …
  ☆76Updated 9 months ago
• wwang2 / Coarse-Graining-Auto-encoders
  ☆40Updated 3 years ago
• peterparity / conservation-laws-manifold-learning
  Discovering Conservation Laws using Optimal Transport and Manifold Learning
  ☆17Updated last year
• ZZYSonny / PlanE
  Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…
  ☆13Updated last year
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆34Updated 5 months ago
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 2 years ago
• binghong-ml / MolEvol
  Source code for ICLR 2021 paper: "Molecule Optimization by Explainable Evolution"
  ☆28Updated 3 years ago