Alternatives and similar repositories for iclr19-graph2graph:

Users that are interested in iclr19-graph2graph are comparing it to the libraries listed below

• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆170Updated 6 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆54Updated 5 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆92Updated 2 years ago
• microsoft / constrained-graph-variational-autoencoder
  Sample code for Constrained Graph Variational Autoencoders
  ☆235Updated last year
• nicola-decao / MolGAN
  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
  ☆271Updated last year
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆78Updated 3 years ago
• wengong-jin / nips17-rexgen
  Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)
  ☆150Updated 6 years ago
• SeongokRyu / augmented-GCN
  ☆59Updated 6 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆135Updated 2 years ago
• Hanjun-Dai / sdvae
  code for Syntax-Directed Variational Autoencoder that generates programs and molecues
  ☆78Updated 6 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated last year
• DeepGraphLearning / GraphAF
  ☆54Updated 3 years ago
• divelab / MoleculeX
  ☆165Updated 3 years ago
• wengong-jin / multiobj-rationale
  Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)
  ☆150Updated 2 years ago
• Hanjun-Dai / GLN
  Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network
  ☆124Updated 2 years ago
• tencent-alchemy / Alchemy
  ☆114Updated 8 months ago
• nyu-dl / dl4chem-geometry
  ☆63Updated 5 years ago
• F-Bekerman / Graph-VAE
  ☆42Updated 7 years ago
• ifding / graph-neural-networks
  Graph Neural Networks for Quantum Chemistry
  ☆127Updated 6 years ago
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆55Updated 6 years ago
• wengong-jin / chemprop
  Chemical Property Prediction with Graph Convolutional Networks
  ☆60Updated 5 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• bowenliu16 / rl_graph_generation
  ☆352Updated 2 years ago
• benatorc / PA-Graph-Transformer
  ☆42Updated last year
• topazape / molecular-VAE
  Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
  ☆46Updated 4 years ago
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆165Updated 3 years ago
• nyu-dl / dl4chem-mgm
  ☆68Updated 2 years ago
• mufeili / DL4MolecularGraph
  Literature of deep learning for graphs in Chemistry and Biology
  ☆198Updated 4 years ago
• john-bradshaw / molecule-chef
  Code for our paper "A Model to Search for Synthesizable Molecules" (https://arxiv.org/abs/1906.05221)
  ☆77Updated last year
• kevinid / molecule_generator
  Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)
  ☆137Updated 6 years ago