DTI prediction method
☆23Jan 22, 2024Updated 2 years ago
Alternatives and similar repositories for AEFS
Users that are interested in AEFS are comparing it to the libraries listed below
Sorting:
- A set of tools to rank molecular pairs by their similarity to components of co-crystal reported in the CSD.☆11Jan 14, 2022Updated 4 years ago
- Python Django Web开发 零基础学习 搭建 待办清单网站 视频地址:☆20Aug 16, 2018Updated 7 years ago
- [PAKDD2023] Improving Knowledge Graph Entity Alignment with Graph Augmentation☆11Nov 16, 2023Updated 2 years ago
- ☆43Feb 27, 2024Updated 2 years ago
- 论文“node2vec: Scalable Feature Learning for Networks”实验部分☆10Jan 9, 2018Updated 8 years ago
- Public Repository☆39Feb 1, 2021Updated 5 years ago
- HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism. This repositor…☆45Jun 9, 2021Updated 4 years ago
- 七七八八的记录☆11Apr 30, 2025Updated 10 months ago
- A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorf…☆13Jul 17, 2021Updated 4 years ago
- a deep learning based drug target interaction prediction model☆11Nov 5, 2022Updated 3 years ago
- AttentionDTA: prediction of drug–target binding affinity using attention model.https://ieeexplore.ieee.org/abstract/document/8983125☆13Aug 29, 2020Updated 5 years ago
- Code for "Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding" ICDE 2021☆11Apr 26, 2021Updated 4 years ago
- The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.☆11Dec 27, 2021Updated 4 years ago
- Code & data for IJCAI'22 paper "RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation".☆16Jul 24, 2022Updated 3 years ago
- the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism…☆11Apr 7, 2022Updated 3 years ago
- Compressed Graph Representation for Scalable Molecular Graph Generation☆11Sep 24, 2020Updated 5 years ago
- This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble …☆12Sep 28, 2021Updated 4 years ago
- DNN-DTIs: improved drug-target interactions prediction using XGBoost feature selection and deep neural network☆12Mar 5, 2021Updated 4 years ago
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆13Mar 10, 2023Updated 2 years ago
- Code & data for IJCAI'22 paper "Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks".☆14Jul 24, 2022Updated 3 years ago
- Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph☆13Aug 2, 2023Updated 2 years ago
- ☆13Apr 4, 2025Updated 11 months ago
- ☆12May 21, 2024Updated last year
- Feature selection problem is one of the most significant issues in data classification. The purpose of feature selection is selection of …☆10Jan 29, 2020Updated 6 years ago
- The University of Western Australia's submission to the ICDM 2019 Knowledge Graph Contest.☆13Dec 8, 2022Updated 3 years ago
- This repository contains the inference, model and tokenizer code for the Molecular Fingerprinting model MFBERT.☆12Nov 8, 2021Updated 4 years ago
- ☆11Nov 19, 2024Updated last year
- Code for "IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep L…☆11Apr 1, 2023Updated 2 years ago
- a method for CPI and DTA prediction☆11Jun 18, 2022Updated 3 years ago
- n8n工作流与RAG技术实现指南☆16Apr 18, 2025Updated 10 months ago
- This repository contains a PyTorch implementation of the paper "Hierarchical Graph Representation Learning for the Prediction of Drug-Tar…☆12Jul 21, 2022Updated 3 years ago
- A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction☆14Aug 29, 2023Updated 2 years ago
- Drug-target interaction prediction using deepWalk node embedding algorithm on drugBank☆11Nov 8, 2020Updated 5 years ago
- Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heter…☆12Apr 27, 2023Updated 2 years ago
- Feature Selection by Optimized LASSO algorithm☆17May 3, 2017Updated 8 years ago
- ☆12Jun 19, 2021Updated 4 years ago
- Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make the…☆11Jan 17, 2021Updated 5 years ago
- Bandit based Reinforcement Learning applied on Feature selection, a Monte Carlo search tree algorithm is trained to find the best feature…☆13Jul 5, 2023Updated 2 years ago
- A toolbox for sparse contrastive principal component analysis☆12Feb 10, 2025Updated last year