Graph representation learning in biological network

被引:0
|
作者
Roy, Swarup [1 ]
Guzzi, Pietro Hiram [2 ]
Kalita, Jugal [3 ]
机构
[1] Sikkim Univ, Dept Comp Applicat, Network Reconstruct & Anal NETRA Lab, Gangtok, India
[2] Magna Graecia Univ Catanzaro, Data Analyt Res Ctr, Dept Surg & Med Sci, Catanzaro, Italy
[3] Univ Colorado, Dept Sci, Colorado Springs, CO USA
来源
关键词
graph; representation learning; embedding; complex network; regulatory network; protein network;
D O I
10.3389/fbinf.2023.1222711
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Learning Graph Representation of Bug Reports to Triage Bugs using Graph Convolution Network
    Zaidi, Syed Farhan Alam
    Lee, Chan-Gun
    35TH INTERNATIONAL CONFERENCE ON INFORMATION NETWORKING (ICOIN 2021), 2021, : 504 - 507
  • [22] An efficiency relation-specific graph transformation network for knowledge graph representation learning
    Xie, Zhiwen
    Zhu, Runjie
    Liu, Jin
    Zhou, Guangyou
    Huang, Jimmy Xiangji
    INFORMATION PROCESSING & MANAGEMENT, 2022, 59 (06)
  • [23] Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
    Li, Rui
    Yuan, Xin
    Radfar, Mohsen
    Marendy, Peter
    Ni, Wei
    O'Brien, Terrence J.
    Casillas-Espinosa, Pablo
    IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2023, 16 : 109 - 135
  • [24] Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review
    Li, Rui
    Yuan, Xin
    Radfar, Mohsen
    Marendy, Peter
    Ni, Wei
    O'Brien, Terrence J. J.
    Casillas-Espinosa, Pablo M.
    IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2023, 16 : 109 - 135
  • [25] GRANA: Graph convolutional network based network representation learning method for attributed network alignment
    Li, Yao
    Cai, He
    Liu, Huilin
    INFORMATION SCIENCES, 2025, 706
  • [26] Network Representation Learning Method Based on Spatial-Temporal Graph in Dynamic Network
    Cheng, Xiaotao
    Ji, Lixin
    Yin, Ying
    Huang, Ruiyang
    PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019), 2019, : 196 - 200
  • [27] BrainTGL: A dynamic graph representation learning model for brain network analysis
    Liu, Lingwen
    Wen, Guangqi
    Cao, Peng
    Hong, Tianshun
    Yang, Jinzhu
    Zhang, Xizhe
    Zaiane, Osmar R.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 153
  • [28] Learning universal network representation via link prediction by graph convolutional neural network
    Gu W.
    Gao F.
    Li R.
    Zhang J.
    Journal of Social Computing, 2021, 2 (01): : 43 - 51
  • [29] UniSKGRep: A unified representation learning framework of social network and knowledge graph
    Shen, Yinghan
    Jiang, Xuhui
    Li, Zijian
    Wang, Yuanzhuo
    Xu, Chengjin
    Shen, Huawei
    Cheng, Xueqi
    NEURAL NETWORKS, 2023, 158 : 142 - 153
  • [30] Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
    Wu, Ning
    Zhao, Wayne Xin
    Wang, Jingyuan
    Pan, Dayan
    KDD '20: PROCEEDINGS OF THE 26TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2020, : 6 - 14