Alternatives and similar repositories for rl_graph_generation

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

• brain-research / mpnn
  Open source implementation of "Neural Message Passing for Quantum Chemistry"
  ☆236Updated 8 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
• microsoft / constrained-graph-variational-autoencoder
  Sample code for Constrained Graph Variational Autoencoders
  ☆237Updated 2 years ago
• nicola-decao / MolGAN
  Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs
  ☆285Updated 2 years ago
• snap-stanford / GraphRNN
  ☆430Updated 6 years ago
• wengong-jin / iclr19-graph2graph
  Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)
  ☆148Updated 6 years ago
• wengong-jin / icml18-jtnn
  Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
  ☆536Updated 2 years ago
• ifding / graph-neural-networks
  Graph Neural Networks for Quantum Chemistry
  ☆127Updated 7 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 4 years ago
• priba / nmp_qc
  Our own implementation of Neural Message Passing for Computer Vision paper
  ☆343Updated 5 years ago
• lukecavabarrett / pna
  Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
  ☆354Updated 4 months ago
• lrjconan / GRAN
  Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019
  ☆478Updated 2 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆731Updated 3 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆189Updated 3 years ago
• lrjconan / LanczosNetwork
  Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …
  ☆314Updated 6 years ago
• baldassarreFe / graph-network-explainability
  Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "…
  ☆124Updated 5 years ago
• benatorc / PA-Graph-Transformer
  ☆43Updated 2 years ago
• F-Bekerman / Graph-VAE
  ☆44Updated 8 years ago
• wengong-jin / hgraph2graph
  Hierarchical Generation of Molecular Graphs using Structural Motifs
  ☆412Updated 3 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆80Updated 3 years ago
• DevinKreuzer / SAN
  ☆155Updated 4 years ago
• calvin-zcx / moflow
  MoFlow: an invertible flow model for generating molecular graphs
  ☆146Updated 2 years ago
• wengong-jin / nips17-rexgen
  Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network (NIPS 2017)
  ☆158Updated 6 years ago
• danielzuegner / netgan
  Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
  ☆196Updated 4 years ago
• mufeili / DL4MolecularGraph
  Literature of deep learning for graphs in Chemistry and Biology
  ☆202Updated 4 years ago
• JiaxuanYou / P-GNN
  Position-aware Graph Neural Networks
  ☆399Updated 5 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆286Updated 5 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆117Updated 4 years ago
• cszhangzhen / HGP-SL
  Hierarchical Graph Pooling with Structure Learning
  ☆342Updated 4 years ago
• gasteigerjo / gdc
  Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
  ☆273Updated 2 years ago