Alternatives and similar repositories for constrained-graph-variational-autoencoder

Users that are interested in constrained-graph-variational-autoencoder are comparing it to the libraries listed below

• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆149Updated 6 years ago
• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆174Updated 7 years ago
• nicola-decao / MolGAN
  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
  ☆287Updated 2 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆56Updated 6 years ago
• wengong-jin / icml18-jtnn
  Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
  ☆542Updated 3 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆80Updated 4 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆96Updated 3 years ago
• SeongokRyu / augmented-GCN
  ☆59Updated 7 years ago
• wengong-jin / nips17-rexgen
  Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)
  ☆160Updated 7 years ago
• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆236Updated 8 years ago
• bowenliu16 / rl_graph_generation
  ☆358Updated 3 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆146Updated 2 years ago
• divelab / MoleculeX
  ☆171Updated 3 years ago
• ifding / graph-neural-networks
  Graph Neural Networks for Quantum Chemistry
  ☆127Updated 7 years ago
• mufeili / DL4MolecularGraph
  Literature of deep learning for graphs in Chemistry and Biology
  ☆202Updated 5 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated 2 years ago
• wengong-jin / multiobj-rationale
  Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)
  ☆165Updated 3 years ago
• wengong-jin / hgraph2graph
  Hierarchical Generation of Molecular Graphs using Structural Motifs
  ☆416Updated 3 years ago
• tencent-alchemy / Alchemy
  ☆114Updated last year
• DeepGraphLearning / GraphAF
  ☆58Updated 4 years ago
• ardigen / MAT
  The official implementation of the Molecule Attention Transformer.
  ☆251Updated 5 years ago
• wengong-jin / chemprop
  Chemical Property Prediction with Graph Convolutional Networks
  ☆60Updated 5 years ago
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆41Updated 5 years ago
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆171Updated 4 years ago
• mkusner / grammarVAE
  Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
  ☆279Updated 5 years ago
• benatorc / PA-Graph-Transformer
  ☆43Updated 2 years ago
• malllabiisc / ProteinGCN
  ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
  ☆119Updated last year
• kevinid / molecule_generator
  Code for "Multi-Objective De Novo Drug Design with Conditional Graph Generative Model" (https://arxiv.org/abs/1801.07299)
  ☆138Updated 7 years ago
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆54Updated 6 years ago
• Hanjun-Dai / GLN
  Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network
  ☆134Updated 3 years ago