Alternatives and similar repositories for EGPDI

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

• guaguabujianle / MGraphDTA
  ☆53Updated 11 months ago
• zhaolongNCU / Demo-GraphDTA-
  小白入门DTA方向，GraphDTA作为经典的DTA模型，对于python基础不好，深度学习代码实操不强者，本github将代码细致的进行注释阐述，旨在记录学习过程，帮助更多入门者尽快入门！
  ☆22Updated 2 years ago
• lihan97 / KPGT
  codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)
  ☆114Updated 10 months ago
• KSUN63 / DeepDTA-Pytorch
  Pytorch Implementation of the original DeepDTA paper (https://github.com/hkmztrk/DeepDTA/)
  ☆12Updated 7 months ago
• microsoft / Drug-Interaction-Research
  ☆88Updated last year
• itWangCode / AI-Drug-Discovery-Design
  AI drug design
  ☆25Updated 7 months ago
• hehh77 / NHGNN-DTA
  NHGNN-DTA: A Node-adaptive Hybrid Graph Neural Network for Interpretable Drug-target Binding Affinity Prediction
  ☆16Updated last year
• zhaoqichang / HpyerAttentionDTI
  HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…
  ☆43Updated 4 years ago
• lifanchen-simm / transformerCPI2.0
  Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that…
  ☆69Updated 2 years ago
• thinng / GraphDTA
  GraphDTA: Predicting drug-target binding affinity with graph neural networks
  ☆259Updated 4 years ago
• biomed-AI / MUSE
  ☆25Updated last year
• LiminLi-xjtu / CoVAE
  ☆9Updated 4 years ago
• dreadlesss / rdkit_summary
  rdkit总结与实践
  ☆231Updated 5 years ago
• peizhenbai / DrugBAN
  Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
  ☆125Updated 2 years ago
• lijianing0902 / CProMG
  ☆12Updated last year
• ranzhran / MHTAN-DTI
  ☆12Updated 2 years ago
• Sinwang404 / DeepDDs
  ☆28Updated 4 years ago
• DeepGraphLearning / ESM-GearNet
  ESM-GearNet for Protein Structure Representation Learning (https://arxiv.org/abs/2303.06275)
  ☆109Updated last year
• lvqiujie / Meta-GAT
  ☆1Updated 2 years ago
• lvguofeng / GNN_PPI
  Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".
  ☆80Updated 3 years ago
• yuyangw / MolCLR
  Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
  ☆288Updated last year
• idrugLab / FP-GNN
  ☆67Updated 2 years ago
• agave233 / GeomGCL
  Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".
  ☆22Updated 3 years ago
• OpenDrugAI / AttentiveFP
  ☆186Updated 2 years ago
• huankoh / PSICHIC
  PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence da…
  ☆111Updated last year
• guanjq / targetdiff
  The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
  ☆281Updated last year
• JK-Liu7 / AttentionMGT-DTA
  ☆38Updated last year
• Layne-Huang / PMDM
  ☆132Updated 8 months ago
• wzxxxx / Knowledge-based-BERT
  K-BERT for molecular property prediction.
  ☆30Updated 2 years ago
• lifanchen-simm / transformerCPI
  TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label…
  ☆144Updated 3 years ago