Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks

被引:3
|
作者
Hayat, Malik Khizar [1 ]
Xue, Shan [1 ]
Wu, Jia [1 ]
Yang, Jian [1 ]
机构
[1] Macquarie University, School of Computing, Faculty of Science and Engineering, Sydney,NSW,2113, Australia
来源
基金
澳大利亚研究理事会;
关键词
Graph neural networks - Job analysis - Network embeddings - Network theory (graphs);
D O I
10.1109/TAI.2024.3450658
中图分类号
学科分类号
摘要
引用
收藏
页码:5465 / 5477
相关论文
共 50 条
  • [41] Review of heterogeneous graph embedding methods based on deep learning techniques and comparing their efficiency in node classification
    Noori, Azad
    Balafar, Mohammad Ali
    Bouyer, Asgarali
    Salmani, Khosro
    SOCIAL NETWORK ANALYSIS AND MINING, 2024, 14 (01)
  • [42] Node Embedding and Classification with Adaptive Structural Fingerprint
    Zhu, Yaokang
    Wang, Jun
    Zhang, Jie
    Zhang, Kai
    NEUROCOMPUTING, 2022, 502 : 196 - 208
  • [43] LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding
    Barracchia, Emanuele Pio
    Pio, Gianvito
    Bifet, Albert
    Gomes, Heitor Murilo
    Pfahringer, Bernhard
    Ceci, Michelangelo
    INFORMATION SCIENCES, 2022, 606 : 702 - 721
  • [44] Local node feature modeling for edge computing based on network embedding in dynamic networks
    Li, Xiaoming
    Luo, Yi
    Xiong, Neal
    Yu, Wei
    Xu, Guangquan
    Liu, Changzheng
    Yang, Xiaoping
    JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2023, 171 : 98 - 110
  • [45] Visualization and Extraction of Important Structural Changes via Dynamic Hypergraph Embedding
    Ito, Shuta
    Fushimi, Takayasu
    2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT, 2022, : 488 - 495
  • [46] Knowledge graph embedding with entity attributes using hypergraph neural networks
    Xu, You-Wei
    Zhang, Hong-Jun
    Cheng, Kai
    Liao, Xiang-Lin
    Zhang, Zi-Xuan
    Li, Yun-Bo
    INTELLIGENT DATA ANALYSIS, 2022, 26 (04) : 959 - 975
  • [47] Node and Edge Joint Embedding for Heterogeneous Information Network
    Chen, Lei
    Li, Yuan
    Liu, Hualiang
    Guo, Haomiao
    BIG DATA MINING AND ANALYTICS, 2024, 7 (03): : 730 - 752
  • [48] DHHNN: A Dynamic Hypergraph Hyperbolic Neural Network based on variational autoencoder for multimodal data integration and node classification
    Mei, Zhangyu
    Bi, Xiao
    Li, Dianguo
    Xia, Wen
    Yang, Fan
    Wu, Hao
    INFORMATION FUSION, 2025, 119
  • [49] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
    Xue, Hansheng
    Yang, Luwei
    Rajan, Vaibhav
    Jiang, Wen
    Wei, Yi
    Lin, Yu
    PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021), 2021, : 1649 - 1660
  • [50] Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification
    Tan, Zhipeng
    Chen, Jing
    Kang, Qi
    Zhou, MengChu
    Abusorrah, Abdullah
    Sedraoui, Khaled
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (03) : 973 - 982