ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.05145
  4. Cited By
Deep learning for drug repurposing: methods, databases, and applications

Deep learning for drug repurposing: methods, databases, and applications

8 February 2022
Xiao Pan
Xuan Lin
Dongsheng Cao
Xiangxiang Zeng
Philip S. Yu
Lifang He
R. Nussinov
F. Cheng
ArXivPDFHTML

Papers citing "Deep learning for drug repurposing: methods, databases, and applications"

14 / 14 papers shown
Title
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for
  Drug Development
Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development
Tengfei Ma
Xuan Lin
Tianle Li
Chaoyi Li
Long Chen
...
Xibao Cai
Xinyu Yang
Daojian Zeng
Dongsheng Cao
Xiangxiang Zeng
16
3
0
15 Oct 2024
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
HGTDR: Advancing Drug Repurposing with Heterogeneous Graph Transformers
Ali Gharizadeh
Karim Abbasi
Amin Ghareyazi
M. R. Mofrad
Hamid R. Rabiee
39
17
0
12 May 2024
Improving Targeted Molecule Generation through Language Model
  Fine-Tuning Via Reinforcement Learning
Improving Targeted Molecule Generation through Language Model Fine-Tuning Via Reinforcement Learning
Salma J. Ahmed
Mustafa A. Alattar
42
2
0
10 May 2024
KGExplainer: Towards Exploring Connected Subgraph Explanations for
  Knowledge Graph Completion
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion
Tengfei Ma
Xiang Song
Wen Tao
Mufei Li
Jiani Zhang
Xiaoqin Pan
Jianxin Lin
Bosheng Song
Xiangxiang Zeng
25
2
0
05 Apr 2024
On the Role of Edge Dependency in Graph Generative Models
On the Role of Edge Dependency in Graph Generative Models
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
18
1
0
06 Dec 2023
Deep Learning in Computational Biology: Advancements, Challenges, and
  Future Outlook
Deep Learning in Computational Biology: Advancements, Challenges, and Future Outlook
Suresh Kumar
Dhanyashri Guruparan
Pavithren Aaron
Philemon Telajan
Kavinesh Mahadevan
Dinesh Davagandhi
Ong Xin Yue
AI4CE
11
6
0
02 Oct 2023
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound
  Protein Interactions
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
Li Zhang
Wenhao Li
Hao Guan
Zhiquan He
Min-Cai Cheng
Han Wang
14
0
0
15 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug
  interactions prediction
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin
Lichang Dai
Yafang Zhou
Zunpeng Yu
Wen Zhang
...
Li Zeng
Hao-Heng Chen
Bosheng Song
Philip S. Yu
Xiangxiang Zeng
GNN
13
56
0
08 Jun 2023
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Hejie Cui
Jiaying Lu
Shiyu Wang
Shiyu Wang
Wenjing Ma
...
Fei Wang
Carl Yang
Mengdi Huai
Fei Wang
Carl Yang
36
12
0
07 Jun 2023
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
K. Bougiatiotis
G. Paliouras
25
1
0
17 May 2023
Graph Representation Learning for Interactive Biomolecule Systems
Graph Representation Learning for Interactive Biomolecule Systems
Xinye Xiong
Bingxin Zhou
Yu Guang Wang
AI4CE
GNN
22
0
0
05 Apr 2023
Healthcare Knowledge Graph Construction: State-of-the-art, open issues,
  and opportunities
Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities
Bilal Abu-Salih
Muhammad Al-Qurishi
Mohammed Alweshah
M. Al-Smadi
Reem Alfayez
Heba Saadeh
20
2
0
08 Jul 2022
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
169
1,933
0
02 Feb 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
1