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检索条件"主题词=Graph Convolutional Neural Network"
408 条 记 录,以下是11-20 订阅
排序:
Combining multi-level feature extraction algorithm with residual graph convolutional neural network for partial discharge detection
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MEASUREMENT 2025年 242卷
作者: Zhang, Chungfeng Fulnecek, Jan Yang, Lin Zhang, Yongjun Zheng, Jiehui South China Univ Technol Sch Elect Power Guangzhou 510665 Peoples R China VSB Tech Univ Ostrava Dept Elect Power Engn Ostrava 70800 Czech Republic
Partial discharge (PD) identification is critical for the insulation diagnosis of cable conductors;however, there is still scope for enhancement in the existing adaptive extraction capabilities and feature utilization... 详细信息
来源: 评论
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2025年 第1期41卷 174-191页
作者: Yuan, Yongliang Yang, Qingkang Wang, Guohu Ren, Jianji Wang, Zhenxi Qiu, Feng Li, Kunpeng Liu, Haiqing Henan Polytech Univ Sch Mech & Power Engn Jiaozuo Peoples R China Zhengzhou Univ Ind Technol Sch Mech & Elect Engn Zhengzhou Peoples R China Henan Polytech Univ Sch Software Jiaozuo Peoples R China Jilin Univ Sch Commun Engn Changchun 130012 Peoples R China China South Ind Grp Corp Automat Res Inst Co Ltd Beijing Peoples R China Nanyang Technol Univ Sch Phys & Math Sci Singapore Singapore Fluorine Based New Mat Technol Co Ltd Jiaozuo Henan Peoples R China
Accurate prediction of the engine's remaining useful life (RUL) is essential to ensure the safe operation of the aircraft because. However, traditional deep-learning based methods for RUL prediction has been limit... 详细信息
来源: 评论
A graph convolutional neural network model based on fused multi-subgraph as input and fused feature information as output
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2025年 139卷
作者: Lu, Junwen Chen, Zeji Deng, Xiaolong Xiamen Univ Technol Sch Comp & Informat Engn Xiamen 361024 Peoples R China Beijing Univ Posts & Telecommun Sch Cyber Secur Beijing Peoples R China
The graph convolution neural network (GCN)-based node classification model tackles the challenge of classifying nodes in graph data through learned feature representations. However, most existing graph neural networks... 详细信息
来源: 评论
Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network
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SCIENTIFIC REPORTS 2025年 第1期15卷 1-11页
作者: Yin, Guimei Yuan, Jie Chen, Yanjun Guo, Guangxing Shi, Dongli Wang, Lin Zhao, Zilong Zhao, Yanli Zhang, Manjie Dong, Yuan Wang, Bin Tan, Shuping Taiyuan Normal Univ Sch Comp Sci & Technol Jinzhong 030619 Peoples R China Shanxi Prov Peoples Hosp Dept Radiol Taiyuan 030012 Peoples R China Taiyuan Normal Univ Inst Big Data Technol Anal & Applicat Jinzhong 030619 Peoples R China Sun Yat sen Univ Sch Chem Engn & Technol Zhuhai 519000 Peoples R China Beijing Huilongguan Hosp Psychiat Res Ctr Beijing 100096 Peoples R China Taiyuan Univ Technol Coll Comp Sci & Technol Jinzhong 030600 Peoples R China
Previous deep learning-based brain network research has made significant progress in understanding the pathophysiology of schizophrenia. However, it ignores the three-dimensional spatial characteristics of EEG signals... 详细信息
来源: 评论
Rapid optimization for inner thermal layout in horizontal annuli using genetic algorithm coupled graph convolutional neural network
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INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER 2024年 150卷
作者: Feng, Feng Li, Yu-Bai Chen, Zhi-Hua Wu, Wei-Tao Peng, Jiang-Zhou Mei, Mei Nanjing Univ Sci & Technol Sch Mech Engn Nanjing 210094 Peoples R China Dalian Univ Technol Key Lab Ocean Energy Utilizat & Energy Conservat Minist Educ Dalian 116023 Peoples R China Nanjing Univ Sci & Technol Key Lab Transient Phys Nanjing 210094 Peoples R China Nanjing Univ Sci & Technol Sino French Engineer Sch Nanjing 210094 Peoples R China
The present study introduces a novel optimization framework that combines a graph convolutional neural network surrogate model with Genetic Algorithms (GCN-GA). This framework can optimize the heat sources layout in h... 详细信息
来源: 评论
SMGCN: Multiple Similarity and Multiple Kernel Fusion Based graph convolutional neural network for Drug-Target Interactions Prediction
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IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2024年 第1期21卷 143-154页
作者: Wang, Wei Yu, Mengxue Sun, Bin Li, Juntao Liu, Dong Zhang, Hongjun Wang, Xianfang Zhou, Yun Henan Normal Univ Coll Comp & Informat Engn Xinxiang 453007 Peoples R China Key Lab Artificial Intelligence & Personalized Lea Xinxiang 453007 Peoples R China Henan Normal Univ Sch Math & Informat Sci Xinxiang 453007 Peoples R China Henan Polytech Univ Hebi Inst Engn & Technol Hebi 458030 Peoples R China Henan Inst Technol Coll Comp Sci & Technol Xinxiang 453000 Henan Peoples R China
Accurately identifying potential drug-target interactions (DTIs) is a critical step in accelerating drug discovery. Despite many studies that have been conducted over the past decades, detecting DTIs remains a highly ... 详细信息
来源: 评论
The Digital Reform of Japanese Classroom Teaching Modes Under the graph convolutional neural network
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IEEE ACCESS 2024年 12卷 95118-95127页
作者: Jiang, Gongyi Gao, Weijun Tong, Mingjia Tourism Coll Zhejiang Foreign Languages Dept Hangzhou 310043 Peoples R China Univ Kitakyushu Fac Environm Engn Kitakyushu 8080135 Japan
This work aims to explore reform methods for Japanese classroom teaching modes in an informationized environment. Addressing issues such as monotonous classroom content and low student engagement in traditional teachi... 详细信息
来源: 评论
graph convolutional neural network based on the Combination of Multiple Heterogeneous graphs  22
Graph Convolutional Neural Network based on the Combination ...
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22nd IEEE International Conference on Data Mining (ICDM)
作者: Mu, Caihong Huang, Heyuan Liu, Yi Luo, Jiashen Xidian Univ Sch Artificial Intelligence Xian Peoples R China Xidian Univ Sch Elect Engn Xian Peoples R China
Collaborative filtering algorithms based on graph neural networks have achieved good performance in many scenarios of recommender systems (RSs), most of which utilize the raw user-item interaction information for reco... 详细信息
来源: 评论
EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism
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FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2024年 18卷 1416494页
作者: Chen, Wei Liao, Yuan Dai, Rui Dong, Yuanlin Huang, Liya Nanjing Univ Posts & Telecommun Coll Elect & Opt Engn Nanjing Peoples R China Nanjing Univ Posts & Telecommun Coll Flexible Elect Future Technol Nanjing Peoples R China
EEG-based emotion recognition is becoming crucial in brain-computer interfaces (BCI). Currently, most researches focus on improving accuracy, while neglecting further research on the interpretability of models, we are... 详细信息
来源: 评论
Data Privacy Protection Model Based on graph convolutional neural network
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MOBILE networkS & APPLICATIONS 2024年 第5期29卷 1433-1440页
作者: Gu, Tao Yang, Lin Wang, Hua Southwestern Univ Finance & Econ Fac Business Adm Sch Business Adm Chengdu Peoples R China Southwestern Univ Finance & Econ Inst Chinese Financial Studies Chengdu Peoples R China Guangdong Univ Finance & Econ Sch Finance Guangzhou Peoples R China
In order to solve the problem of leakage of user data privacy in social network scenarios, the author proposes a data privacy protection model based on graph convolutional neural network. This method analyzes in detai... 详细信息
来源: 评论