A Real-Time Rumor Detection Method Based on the Graph Attention Neural Network Integrated with the Knowledge Graph

被引：0
|
作者：
Wang, Gensheng [1 ,2 ]
Zhu, Yi [3 ]
Li, Sheng [3 ]
机构：
[1] School of International Economics and Trade, Jiangxi University of Finance and Economics, Nanchang,330013, China
[2] College of Humanities, Jiangxi University of Finance and Economics, Nanchang,330013, China
[3] School of Finance, Taxation and Public Administration, Jiangxi University of Finance and Economics, Nanchang,330013, China
来源：
Data Analysis and Knowledge Discovery | 2024年 / 8卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Decision making - Distillation - Feature extraction - Graphic methods - Semantic Web - Semantics - Signal detection;
D O I：
10.11925/infotech.2096-3467.2023.0314
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：95 / 106
相关论文
共 50 条
  • [11] A hybrid dynamic graph neural network framework for real-time anomaly detection
    Moraitis, Georgios
    Makropoulos, Christos
    JOURNAL OF HYDROINFORMATICS, 2024,
  • [12] Real-time distributed PV consumption capacity assessment method for distribution network based on graph attention network
    Bai, Ze
    Liu, Hao
    Bi, Tianshu
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2024, 44 (12): : 92 - 99
  • [13] Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion
    Zhang, Zhao
    Zhuang, Fuzhen
    Zhu, Hengshu
    Shi, Zhiping
    Xiong, Hui
    He, Qing
    THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 9612 - 9619
  • [14] ACGVD: Vulnerability Detection Based on Comprehensive Graph via Graph Neural Network with Attention
    Li, Min
    Li, Chunfang
    Li, Shuailou
    Wu, Yanna
    Zhang, Boyang
    Wen, Yu
    INFORMATION AND COMMUNICATIONS SECURITY (ICICS 2021), PT I, 2021, 12918 : 243 - 259
  • [15] Knowledge graph completion based on graph contrastive attention network
    Liu D.
    Fang Q.
    Zhang X.
    Hu J.
    Qian S.
    Xu C.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2022, 48 (08): : 1428 - 1435
  • [16] Early Rumor Detection Based on Bert-GNNs Heterogeneous Graph Attention Network
    Ouyang Q.
    Chen H.-C.
    Liu S.-X.
    Wang K.
    Li X.
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2024, 52 (01): : 311 - 323
  • [17] Heterogeneous Graph Neural Network Knowledge Graph Completion Model Based on Improved Attention Mechanism
    Shi, Junkang
    Li, Ming
    Zhao, Jing
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT IV, 2023, 14257 : 423 - 434
  • [18] BRIGHT - Graph Neural Networks in Real-Time Fraud Detection
    Lu, Mingxuan
    Han, Zhichao
    Rao, Susie Xi
    Zhang, Zitao
    Zhao, Yang
    Shan, Yinan
    Raghunathan, Ramesh
    Zhang, Ce
    Jiang, Jiawei
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2022, 2022, : 3342 - 3351
  • [19] Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network
    Liu, Xiaoyang
    Zhao, Zhengyang
    Zhang, Yihao
    Liu, Chao
    Yang, Fan
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 10 (05) : 2350 - 2361
  • [20] A Graph Attention Network Approach to Partitioned Scheduling in Real-Time Systems
    Lee, Seunghoon
    Lee, Jinkyu
    IEEE EMBEDDED SYSTEMS LETTERS, 2024, 16 (04) : 457 - 460
12345