yvquanli / TrimNetLinks
Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
☆53Updated 2 years ago
Alternatives and similar repositories for TrimNet
Users that are interested in TrimNet are comparing it to the libraries listed below
Sorting:
- ☆67Updated 3 years ago
- Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)☆55Updated 3 years ago
- ☆67Updated 5 years ago
- An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming (ICML'21)☆51Updated 4 years ago
- generative model for drug discovery☆64Updated last month
- InterpretableDTIP☆20Updated 7 years ago
- a novel DTA predition method using graph neural network☆74Updated 2 years ago
- MoleculeNet benchmark dataset & MolMapNet dataset☆63Updated 3 years ago
- MolRep: A Deep Representation Learning Library for Molecular Property Prediction☆129Updated 11 months ago
- Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures☆48Updated 3 years ago
- A novel hybrid method for generating molecules with desired property scores.☆42Updated 3 years ago
- Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"☆69Updated last year
- Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)☆158Updated 2 years ago
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆46Updated 4 years ago
- Code and data for QMO https://arxiv.org/abs/2011.01921☆35Updated 3 years ago
- An E(3) Equivariant Variational Autoencoder for Molecular Linker Design☆47Updated 2 years ago
- MoFlow: an invertible flow model for generating molecular graphs☆142Updated 2 years ago
- ☆91Updated 2 years ago
- ☆76Updated last year
- Mol-CycleGAN - a generative model for molecular optimization☆77Updated 6 years ago
- Learning Neural Generative Dynamics for Molecular Conformation Generation (ICLR 2021)☆22Updated 3 years ago
- Graph neural network (GNN) for molecular property prediction (3D structure)☆99Updated 4 years ago
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆169Updated last year
- Database of Interacting Protein Structures (DIPS)☆102Updated last year
- Fusion models for Atomic and molecular STructures (FAST)☆92Updated 2 years ago
- ☆50Updated 4 years ago
- Baselines models for GuacaMol benchmarks☆141Updated last year
- An official Molecule Transformer Drug Target Interaction (MT-DTI) model☆34Updated 4 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆54Updated 6 years ago
- ☆64Updated 4 years ago