pfnet-research / bayesgradLinks
BayesGrad: Explaining Predictions of Graph Convolutional Networks
☆63Updated 3 years ago
Alternatives and similar repositories for bayesgrad
Users that are interested in bayesgrad are comparing it to the libraries listed below
Sorting:
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Updated 7 years ago
- ☆43Updated 2 years ago
- Molecular-GAT☆21Updated 7 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 4 years ago
- A project to enable optimization of molecules by transforming them to and from a continuous representation.☆155Updated 8 years ago
- Deriving Neural Architectures from Sequence and Graph Kernels☆59Updated 7 years ago
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated 7 months ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆28Updated last year
- ☆81Updated last year
- Molecular AutoEncoder in PyTorch☆90Updated 5 years ago
- Gold medal #2 Kaggle "Predicting Molecular Properties" compatition☆61Updated 5 years ago
- code for Syntax-Directed Variational Autoencoder that generates programs and molecues☆78Updated 6 years ago
- Energy-based models for atomic-resolution protein conformations☆99Updated 3 years ago
- Code for the results of the Paper:☆21Updated 7 years ago
- Bosch solution to CHAMPS Kaggle competition☆126Updated 11 months ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆149Updated 6 years ago
- Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925☆275Updated 5 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆95Updated 3 years ago
- pytorch implementation of grammar variational autoencoder☆63Updated 6 years ago
- Implementation of Symmetric SNE and t-SNE in numpy and python☆76Updated 4 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 6 years ago
- ☆43Updated 7 years ago
- Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs☆278Updated last year
- Similarity Ensemble Approach with deep learning substance fingerprints☆61Updated 8 years ago
- Support deep learning experiments for chemistry and biology.☆9Updated 5 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆55Updated 5 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 7 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago