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检索条件"主题词=graph autoencoder"
114 条 记 录,以下是101-110 订阅
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Predicting microRNA-Disease Associations Through Multi-View Feature Fusion and Matrix Completion on graph Convolutional Networks
IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATIC...
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IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2025年 第1期22卷 151-159页
作者: Ding, Shifei Cao, Chuangui Sun, Fan Li, Xuan Wu, Xindong China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Peoples R China Minist Educ Mine Digitizat Engn Res Ctr Xuzhou 221116 Peoples R China Hefei Univ Technol Key Lab Knowledge Engn Big Data Minist Educ China Hefei 230009 Peoples R China
Since the regulatory roles of microRNAs in complex human diseases have been gradually demonstrated, more and more enlightening models were developed for predicting microRNA-disease associations. These models can infor... 详细信息
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Dual-Network Cross-Learning for Metabolite-Disease Association Prediction
IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATIC...
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IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2025年 第2期22卷 545-556页
作者: Chen, Yanxin Ning, Qiao Zhang, Yitong Li, Hui Guo, Shikai Dalian Maritime Univ Dept Informat Sci & Technol Dalian 116026 Peoples R China Jiangnan Univ Sch Artificial Intelligence & Comp Sci Wuxi 214122 Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun 130012 Peoples R China Dalian Key Lab Artificial Intelligence Dalian 116026 Peoples R China
In recent years, increasing evidence has demonstrated a close association between metabolites and various complex human diseases, providing valuable insights for disease diagnosis, treatment, and prevention. Although ... 详细信息
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Adversarial random graph neural network for anomaly detection
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DIGITAL SIGNAL PROCESSING 2024年 146卷
作者: Tuzen, Ahmet Yaslan, Yusuf Aselsan Inc Ankara Turkiye Istanbul Tech Univ Istanbul Turkiye
Anomaly detection is distinguishing unusual objects from normal patterns. It is a complex task due to unpredictable nature of anomalies, which can appear in many forms or they can be hidden by mimicking normal behavio... 详细信息
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Deep multi-view graph clustering network with weighting mechanism and collaborative training
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 236卷
作者: Liu, Jing Cao, Fuyuan Jing, Xuechun Liang, Jiye Shanxi Univ Sch Comp & Informat Technol Key Lab Computat Intelligence & Chinese Informat P Minist Educ Taiyuan 030006 Peoples R China Shanxi Agr Univ Sch Software Taigu 030801 Peoples R China
With the development of graph convolutional network (GCN), which is powerful in graph embedding learning meanwhile can capture node feature information, deep multi-view graph clustering methods based on graph autoenco... 详细信息
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Multi-scale graph clustering network
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INFORMATION SCIENCES 2024年 678卷
作者: Li, Xiulai Wu, Wei Zhang, Bin Peng, Xin Zhejiang Univ Hainan Inst Sanya 572025 Peoples R China Hainan Univ Sch Cyberspace Secur Haikou 570228 Peoples R China Hainan Hairui Zhong Chuang Technol Co Ltd R&D Haikou 570228 Peoples R China
Deep graph clustering, a fundamental yet formidable task in data analysis, aims to partition samples belonging to the same category into their respective clusters. Recently, significant advancements in graph self -sup... 详细信息
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Spatial-Spectral graph Contrastive Clustering With Hard Sample Mining for Hyperspectral Images
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷
作者: Guan, Renxiang Tu, Wenxuan Li, Zihao Yu, Hao Hu, Dayu Chen, Yuzeng Tang, Chang Yuan, Qiangqiang Liu, Xinwang Natl Univ Def Technol Coll Comp Changsha 410073 Peoples R China Hainan Univ Sch Comp Sci & Technol Haikou 570228 Hainan Peoples R China China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China Wuhan Univ Sch Geodesy & Geomat Wuhan 430079 Peoples R China
Hyperspectral image (HSI) clustering is a fundamental yet challenging task that groups image pixels with similar features into distinct clusters. Among various approaches, contrastive learning methods, which employ th... 详细信息
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graph Representation Learning of Banking Transaction Network with EdgeWeight-Enhanced Attention and Textual Information  22
Graph Representation Learning of Banking Transaction Network...
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31st ACM Web Conference (WWW)
作者: Minakawa, Naoto Izumi, Kiyoshi Sakaji, Hiroki Sano, Hitomi Univ Tokyo Tokyo Japan
In this paper, we propose a novel approach to capture inter-company relationships from banking transaction data using graph neural networks with a special attention mechanism and textual industry or sector information... 详细信息
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BEDetector: A Two-Channel Encoding Method to Detect Vulnerabilities Based on Binary Similarity
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IEEE ACCESS 2021年 9卷 51631-51645页
作者: Yu, Lu Lu, Yuliang Shen, Yi Huang, Hui Zhu, Kailong Natl Univ Def Technol Coll Elect Engn Hefei 230007 Peoples R China Anhui Prov Key Lab Cyberspace Secur Situat Awaren Hefei 230007 Peoples R China
Applying neural network technology to binary similarity detection has become a promising search topic, and vulnerability detection is an important application field of binary similarity detection. When embedding binar... 详细信息
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Learning style detection based on graph embedding enhancement  25
Learning style detection based on graph embedding enhancemen...
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Proceedings of the 2025 International Conference on Big Data and Informatization Education
作者: Jiayi Ma Zhiyuan Liu Business School Shandong Normal University Jinan Shandong China
In the “Internet and Education” era, accurately detecting students' learning styles is an indispensable part of personalized educational resource recommendations. Learning style is crucial for providing customiz... 详细信息
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GRL-LS: A learning style detection in online education using graph representation learning
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EXPERT SYSTEMS WITH APPLICATIONS 2022年 201卷 1页
作者: Muhammad, Bello Ahmad Qi, Chao Wu, Zhenqiang Ahmad, Hafsa Kabir Minist Educ Key Lab Modern Teaching Technol Xian 710062 Shaanxi Peoples R China Shaanxi Normal Univ Sch Comp Sci Xian 710062 Peoples R China Bayero Univ Kano Kano 700241 Nigeria
The accessibility and popularity of online learning have aided the spread of modern learning systems, which provide numerous opportunities for studying the behavior of learners and improving their learning quality. In... 详细信息
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