bowenliu16 / rl_graph_generation
☆348Updated 2 years ago
Alternatives and similar repositories for rl_graph_generation:
Users that are interested in rl_graph_generation are comparing it to the libraries listed below
- ☆418Updated 5 years ago
- Open source implementation of "Neural Message Passing for Quantum Chemistry"☆235Updated 7 years ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆149Updated 6 years ago
- Sample code for Constrained Graph Variational Autoencoders☆233Updated last year
- Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)☆167Updated 6 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs☆269Updated last year
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Updated 3 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆476Updated last year
- Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)☆518Updated 2 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆710Updated 3 years ago
- Our own implementation of Neural Message Passing for Computer Vision paper☆339Updated 4 years ago
- Graph Neural Networks for Quantum Chemistry☆125Updated 6 years ago
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆313Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆186Updated 2 years ago
- ☆114Updated 6 months ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆312Updated last year
- Strategies for Pre-training Graph Neural Networks☆985Updated last year
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)☆284Updated 4 years ago
- Hierarchical Generation of Molecular Graphs using Structural Motifs☆386Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆269Updated last year
- ☆459Updated 2 years ago
- Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925☆270Updated 4 years ago
- ☆486Updated 4 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Hierarchical Graph Pooling with Structure Learning☆336Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆317Updated last year
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆54Updated 5 years ago