Alternatives and similar repositories for iclr19-graph2graph

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

• microsoft / constrained-graph-variational-autoencoder
  Sample code for Constrained Graph Variational Autoencoders
  ☆237Updated 2 years ago
• yongqyu / MolGAN-pytorch
  Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)
  ☆175Updated 7 years ago
• pfnet-research / graph-nvp
  GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  ☆97Updated 3 years ago
• benatorc / PA-Graph-Transformer
  ☆43Updated 2 years ago
• nicola-decao / MolGAN
  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
  ☆285Updated 2 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆80Updated 3 years ago
• DeepGraphLearning / GraphAF
  ☆57Updated 4 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆56Updated 5 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆146Updated 2 years ago
• SeongokRyu / augmented-GCN
  ☆59Updated 6 years ago
• yangkevin2 / coronavirus_data
  ☆81Updated 2 years ago
• wengong-jin / nips17-rexgen
  Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)
  ☆158Updated 6 years ago
• F-Bekerman / Graph-VAE
  ☆44Updated 8 years ago
• bowenliu16 / rl_graph_generation
  ☆356Updated 3 years ago
• Hanjun-Dai / sdvae
  code for Syntax-Directed Variational Autoencoder that generates programs and molecues
  ☆80Updated 7 years ago
• bioinf-jku / interpretable_ml_drug_discovery
  Interpreting graph convolutional filters of target prediction network
  ☆48Updated 6 years ago
• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆236Updated 8 years ago
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆41Updated 5 years ago
• ifding / graph-neural-networks
  Graph Neural Networks for Quantum Chemistry
  ☆127Updated 7 years ago
• wengong-jin / icml18-jtnn
  Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
  ☆536Updated 2 years ago
• divelab / MoleculeX
  ☆170Updated 3 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 4 years ago
• Hanjun-Dai / GLN
  Implementation of Retrosynthesis Prediction with Conditional Graph Logic Network
  ☆134Updated 2 years ago
• wengong-jin / multiobj-rationale
  Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)
  ☆161Updated 3 years ago
• DeepGraphLearning / ConfGF
  Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
  ☆169Updated 4 years ago
• chao1224 / n_gram_graph
  N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)
  ☆39Updated 4 years ago
• ardigen / MAT
  The official implementation of the Molecule Attention Transformer.
  ☆251Updated 5 years ago
• yvquanli / TrimNet
  Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
  ☆56Updated 2 years ago
• mufeili / DL4MolecularGraph
  Literature of deep learning for graphs in Chemistry and Biology
  ☆202Updated 4 years ago
• wengong-jin / chemprop
  Chemical Property Prediction with Graph Convolutional Networks
  ☆60Updated 5 years ago