Alternatives and similar repositories for deepdrug:

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

• isjakewong / MIRACLE
  Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction
  ☆43Updated 3 years ago
• microsoft / Drug-Interaction-Research
  ☆82Updated last year
• lvguofeng / GNN_PPI
  Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
  ☆77Updated 3 years ago
• kanz76 / SSI-DDI
  ☆27Updated 3 years ago
• kexinhuang12345 / SkipGNN
  SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)
  ☆64Updated 4 years ago
• yueyu1030 / SumGNN
  [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…
  ☆85Updated 7 months ago
• NYXFLOWER / TIP
  TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
  ☆24Updated 2 years ago
• jcchan23 / CoMPT
  Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"
  ☆39Updated 2 years ago
• peizhenbai / DrugBAN
  Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
  ☆117Updated 2 years ago
• lihan97 / KPGT
  codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
  ☆105Updated 5 months ago
• kanz76 / GMPNN-CS
  ☆28Updated last year
• kexinhuang12345 / CASTER
  CASTER: Predicting Drug Interactions with Chemical Substructure Representation (AAAI 2020)
  ☆26Updated 4 years ago
• codeKgu / BiLevel-Graph-Neural-Network
  Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
  ☆29Updated 4 years ago
• zaixizhang / MGSSL
  Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
  ☆116Updated last year
• HICAI-ZJU / KANO
  Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".
  ☆121Updated 11 months ago
• biomed-AI / MolRep
  MolRep: A Deep Representation Learning Library for Molecular Property Prediction
  ☆127Updated 5 months ago
• tticoin / DESC_MOL-DDIE
  Implementation of Using Drug Descriptions and Molecular Structures for Drug-Drug Interaction Extraction from Literature
  ☆36Updated 4 years ago
• hauldhut / GraphDRP
  ☆25Updated 4 years ago
• MedicineBiology-AI / EEG-DTI
  An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction
  ☆30Updated 2 years ago
• XuanLin1991 / DeepGS
  DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)
  ☆26Updated 4 years ago
• illidanlab / MoCL-DK
  Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge
  ☆41Updated last year
• yvquanli / TrimNet
  Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
  ☆52Updated last year
• zqgao22 / HIGH-PPI
  ☆84Updated last year
• Layne-Huang / CoaDTI
  Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2
  ☆17Updated 2 years ago
• Azra3lzz / LaGAT
  ☆17Updated 2 years ago
• pyli0628 / MPG
  ☆45Updated last year
• HannesStark / 3DInfomax
  Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
  ☆165Updated last year
• IsXudongZhang / Molormer
  [BIB 2022] The official repository of our paper "Molormer: A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Mole…
  ☆9Updated 5 months ago
• tata1661 / PAR-NeurIPS21
  Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
  ☆46Updated 3 years ago
• mindrank-ai / PharmHGT
  ☆20Updated last year