Alternatives and similar repositories for GraphRNN

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

• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆137Updated 2 years ago
• kamikaze0923 / jtvae
  Junctional Tree Variational Auto-encoder
  ☆23Updated 5 years ago
• DeepGraphLearning / GraphAF
  ☆54Updated 3 years ago
• blackmints / 3DGCN
  Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation
  ☆55Updated 6 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆79Updated 3 years ago
• dbkgroup / prop_gen
  A novel hybrid method for generating molecules with desired property scores.
  ☆42Updated 3 years ago
• seokhokang / graphvae_approx
  Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation
  ☆40Updated 4 years ago
• seokhokang / mol_mpnn
  Efficient Learning of Message Passing Neural Networks for Molecular Property Production
  ☆18Updated 5 years ago
• Networks-Learning / nevae
  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019
  ☆54Updated 5 years ago
• kfzyqin / Implementation-MolGAN-PyTorch
  PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.
  ☆58Updated 3 years ago
• SeongokRyu / augmented-GCN
  ☆59Updated 6 years ago
• yvquanli / TrimNet
  Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
  ☆53Updated last year
• MinkaiXu / ConfVAE-ICML21
  An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)
  ☆51Updated 3 years ago
• drigoni / ConditionalCGVAE
  Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design
  ☆16Updated 4 years ago
• XuhanLiu / NGFP
  PyTorch-based Neural Graph Fingerprint for Organic Molecule Representations
  ☆27Updated 4 years ago
• simonfqy / PADME
  This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…
  ☆42Updated 5 years ago
• fork123aniket / Molecule-Graph-Generation
  Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
  ☆22Updated 6 months ago
• georgelamb19 / chempropBayes
  Bayesian MPNNs for Molecular Property Prediction
  ☆27Updated 4 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆122Updated last year
• uta-smile / RetroXpert
  ☆65Updated 4 years ago
• chenxiaowei-vincent / XGraphBoost
  ☆59Updated 3 years ago
• chshm / GF-VAE
  A Flow-based Variational Autoencoder for Molecule Generation
  ☆10Updated 3 years ago
• Rose-STL-Lab / LIMO
  generative model for drug discovery
  ☆59Updated last year
• MinkaiXu / CGCF-ConfGen
  Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)
  ☆46Updated 3 years ago
• zetayue / MXMNet
  Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
  ☆73Updated last year
• 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
• ZhaoningYu1996 / HM-GNN
  Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"
  ☆37Updated 2 years ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆129Updated 8 months ago
• divelab / MoleculeX
  ☆166Updated 3 years ago
• jaechanglim / GNN_DTI
  ☆67Updated 4 years ago