benatorc / OTGNNLinks
OTGNN code
☆55Updated 5 years ago
Alternatives and similar repositories for OTGNN
Users that are interested in OTGNN are comparing it to the libraries listed below
Sorting:
- ☆56Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆80Updated 3 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆29Updated 2 years ago
- Efficient Learning of Non-Autoregressive Graph Variational Autoencoders for Molecular Graph Generation☆40Updated 4 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- N-Gram Graph: Simple Unsupervised Representation for Graphs, NeurIPS'19 (https://arxiv.org/abs/1806.09206)☆39Updated 4 years ago
- PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.☆58Updated 3 years ago
- Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "☆53Updated 2 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆59Updated 6 years ago
- Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019☆55Updated 5 years ago
- ☆9Updated 3 years ago
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Updated 4 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Updated 3 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆95Updated 3 years ago
- ☆169Updated 3 years ago
- ☆43Updated 7 years ago
- Pytroch implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)☆171Updated 6 years ago
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"☆73Updated last year
- MoFlow: an invertible flow model for generating molecular graphs☆140Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- The official implementation of the SGCN architecture.☆62Updated 3 years ago
- Heterogeneous Molecular Graph Neural Network☆28Updated 4 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules☆46Updated 4 years ago