Artículos de revistas sobre el tema "Graph-based neural network model"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Graph-based neural network model".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Hao, Jia, Yonghong Tian, Qingqing Zhang y Genmao Zhang. "Mongolian-Chinese Machine Translation Based on Graph Neural Network". Journal of Physics: Conference Series 2400, n.º 1 (1 de diciembre de 2022): 012050. http://dx.doi.org/10.1088/1742-6596/2400/1/012050.
Texto completoScarselli, F., M. Gori, Ah Chung Tsoi, M. Hagenbuchner y G. Monfardini. "The Graph Neural Network Model". IEEE Transactions on Neural Networks 20, n.º 1 (enero de 2009): 61–80. http://dx.doi.org/10.1109/tnn.2008.2005605.
Texto completoElnaggar, Sarah G., Ibrahim E. Elsemman y Taysir Hassan A. Soliman. "Embedding-Based Deep Neural Network and Convolutional Neural Network Graph Classifiers". Electronics 12, n.º 12 (17 de junio de 2023): 2715. http://dx.doi.org/10.3390/electronics12122715.
Texto completoBi, Zhongqin, Lina Jing, Meijing Shan, Shuming Dou y Shiyang Wang. "Hierarchical Social Recommendation Model Based on a Graph Neural Network". Wireless Communications and Mobile Computing 2021 (31 de agosto de 2021): 1–10. http://dx.doi.org/10.1155/2021/9107718.
Texto completoAlBadani, Barakat, Ronghua Shi, Jian Dong, Raeed Al-Sabri y Oloulade Babatounde Moctard. "Transformer-Based Graph Convolutional Network for Sentiment Analysis". Applied Sciences 12, n.º 3 (26 de enero de 2022): 1316. http://dx.doi.org/10.3390/app12031316.
Texto completoLi, Boao. "Multi-modal sentiment analysis based on graph neural network". Applied and Computational Engineering 6, n.º 1 (14 de junio de 2023): 792–98. http://dx.doi.org/10.54254/2755-2721/6/20230918.
Texto completoXu, Jinling, Yanping Chen, Yongbin Qin, Ruizhang Huang y Qinghua Zheng. "A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction". Symmetry 13, n.º 8 (9 de agosto de 2021): 1458. http://dx.doi.org/10.3390/sym13081458.
Texto completoGao, Huiguo, Mengyuan Lee, Guanding Yu y Zhaolin Zhou. "A Graph Neural Network Based Decentralized Learning Scheme". Sensors 22, n.º 3 (28 de enero de 2022): 1030. http://dx.doi.org/10.3390/s22031030.
Texto completoZhong, Hongwei, Mingyang Wang y Xinyue Zhang. "HeMGNN: Heterogeneous Network Embedding Based on a Mixed Graph Neural Network". Electronics 12, n.º 9 (6 de mayo de 2023): 2124. http://dx.doi.org/10.3390/electronics12092124.
Texto completoZhang, Guoxing, Haixiao Wang y Yuanpu Yin. "Multi-type Parameter Prediction of Traffic Flow Based on Time-space Attention Graph Convolutional Network". International Journal of Circuits, Systems and Signal Processing 15 (11 de agosto de 2021): 902–12. http://dx.doi.org/10.46300/9106.2021.15.97.
Texto completoIrani Hoeronis y Bambang Riyanto Trilaksono. "Node Classification on The Citation Network Using Graph Neural Network". Inspiration: Jurnal Teknologi Informasi dan Komunikasi 13, n.º 1 (30 de junio de 2023): 96–105. http://dx.doi.org/10.35585/inspir.v13i1.49.
Texto completoBuchhorn, Katie, Edgar Santos-Fernandez, Kerrie Mengersen y Robert Salomone. "Graph neural network-based anomaly detection for river network systems". F1000Research 12 (16 de agosto de 2023): 991. http://dx.doi.org/10.12688/f1000research.136097.1.
Texto completoSerafini, Marco. "Scalable Graph Neural Network Training". ACM SIGOPS Operating Systems Review 55, n.º 1 (2 de junio de 2021): 68–76. http://dx.doi.org/10.1145/3469379.3469387.
Texto completoCui, Mengtian, Songlin Long, Yue Jiang y Xu Na. "Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network". Entropy 24, n.º 10 (27 de septiembre de 2022): 1373. http://dx.doi.org/10.3390/e24101373.
Texto completoZhu, Zhiying, Hang Zhou, Siyuan Xing, Zhenxing Qian, Sheng Li y Xinpeng Zhang. "Perceptual Hash of Neural Networks". Symmetry 14, n.º 4 (13 de abril de 2022): 810. http://dx.doi.org/10.3390/sym14040810.
Texto completoZhu, Hongqiang. "A graph neural network-enhanced knowledge graph framework for intelligent analysis of policing cases". Mathematical Biosciences and Engineering 20, n.º 7 (2023): 11585–604. http://dx.doi.org/10.3934/mbe.2023514.
Texto completoSon, Jeongtae y Dongsup Kim. "Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities". PLOS ONE 16, n.º 4 (8 de abril de 2021): e0249404. http://dx.doi.org/10.1371/journal.pone.0249404.
Texto completoZhao, Chensu, Yang Xin, Xuefeng Li, Hongliang Zhu, Yixian Yang y Yuling Chen. "An Attention-Based Graph Neural Network for Spam Bot Detection in Social Networks". Applied Sciences 10, n.º 22 (18 de noviembre de 2020): 8160. http://dx.doi.org/10.3390/app10228160.
Texto completoNan, Mihai y Adina Magda Florea. "Fast Temporal Graph Convolutional Model for Skeleton-Based Action Recognition". Sensors 22, n.º 19 (20 de septiembre de 2022): 7117. http://dx.doi.org/10.3390/s22197117.
Texto completoYang, Shuai, Yueqin Zhang y Zehua Zhang. "Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network". Water 15, n.º 13 (5 de julio de 2023): 2463. http://dx.doi.org/10.3390/w15132463.
Texto completoLiu, Qiang, Wei Zhu, Feng Ma, Xiyu Jia, Yu Gao y Jun Wen. "Graph attention network-based fluid simulation model". AIP Advances 12, n.º 9 (1 de septiembre de 2022): 095114. http://dx.doi.org/10.1063/5.0122165.
Texto completoZhu, Li, Xin Pan, Xinpeng Wang y Fu Haito. "A Small Sample Recognition Model for Poisonous and Edible Mushrooms based on Graph Convolutional Neural Network". Computational Intelligence and Neuroscience 2022 (12 de agosto de 2022): 1–11. http://dx.doi.org/10.1155/2022/2276318.
Texto completoLin, Lei, Weizi Li y Lei Zhu. "Data-Driven Graph Filter-Based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction". Sustainability 14, n.º 24 (13 de diciembre de 2022): 16701. http://dx.doi.org/10.3390/su142416701.
Texto completoWu, Wei, Guangmin Hu y Fucai Yu. "Ricci Curvature-Based Semi-Supervised Learning on an Attributed Network". Entropy 23, n.º 3 (27 de febrero de 2021): 292. http://dx.doi.org/10.3390/e23030292.
Texto completoShi, Ming, Jing Zhao y Donglin Wu. "Convolutional Neural Network Knowledge Graph Link Prediction Model Based on Relational Memory". Computational Intelligence and Neuroscience 2023 (31 de enero de 2023): 1–9. http://dx.doi.org/10.1155/2023/3909697.
Texto completoLi, Wei, Shaogang Gong y Xiatian Zhu. "Neural Graph Embedding for Neural Architecture Search". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 4707–14. http://dx.doi.org/10.1609/aaai.v34i04.5903.
Texto completoHuang, Zhenhua, Yinhao Tang y Yunwen Chen. "A graph neural network-based node classification model on class-imbalanced graph data". Knowledge-Based Systems 244 (mayo de 2022): 108538. http://dx.doi.org/10.1016/j.knosys.2022.108538.
Texto completoGan, Ling y Peng He. "Single Document Extractive Summarization Model Based on Heterogeneous Graph Transformer". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012012. http://dx.doi.org/10.1088/1742-6596/2171/1/012012.
Texto completoChen, Yu-Hung, Jiann-Liang Chen y Ren-Feng Deng. "Similarity-Based Malware Classification Using Graph Neural Networks". Applied Sciences 12, n.º 21 (26 de octubre de 2022): 10837. http://dx.doi.org/10.3390/app122110837.
Texto completoHan, Xiao, Chunhong Zhang, Yang Ji y Zheng Hu. "A Dilated Recurrent Neural Network-Based Model for Graph Embedding". IEEE Access 7 (2019): 32085–92. http://dx.doi.org/10.1109/access.2019.2901804.
Texto completoWang, Bin, Yu Chen, Jinfang Sheng y Zhengkun He. "Attributed Graph Embedding Based on Attention with Cluster". Mathematics 10, n.º 23 (1 de diciembre de 2022): 4563. http://dx.doi.org/10.3390/math10234563.
Texto completoJing, Weipeng, Xianyang Song, Donglin Di y Houbing Song. "geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification". ACM Transactions on Asian and Low-Resource Language Information Processing 20, n.º 5 (30 de septiembre de 2021): 1–18. http://dx.doi.org/10.1145/3434239.
Texto completoLiao, Guoqiong y Xiaobin Deng. "Leveraging Social Relationship-Based Graph Attention Model for Group Event Recommendation". Wireless Communications and Mobile Computing 2020 (29 de octubre de 2020): 1–14. http://dx.doi.org/10.1155/2020/8834450.
Texto completoLi, Guoyan, Yihui Shang, Yi Liu y Xiangru Zhou. "A Network Traffic Prediction Model Based on Graph Neural Network in Software-Defined Networking". International Journal of Information Security and Privacy 16, n.º 1 (1 de enero de 2022): 1–17. http://dx.doi.org/10.4018/ijisp.309130.
Texto completoZhang, Yinan y Wenyu Chen. "Incorporating Siamese Network Structure into Graph Neural Network". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2171/1/012023.
Texto completoHu, Zhiqiu, Fengjing Shao y Rencheng Sun. "A New Perspective on Traffic Flow Prediction: A Graph Spatial-Temporal Network with Complex Network Information". Electronics 11, n.º 15 (4 de agosto de 2022): 2432. http://dx.doi.org/10.3390/electronics11152432.
Texto completoZhu, Lingxiao. "E-Commerce Recommendation Algorithm based on Graph Neural Network". Highlights in Science, Engineering and Technology 39 (1 de abril de 2023): 1264–68. http://dx.doi.org/10.54097/hset.v39i.6752.
Texto completoLuo, Hairu, Peng Jia, Anmin Zhou, Yuying Liu y Ziheng He. "Bridge Node Detection between Communities Based on GNN". Applied Sciences 12, n.º 20 (13 de octubre de 2022): 10337. http://dx.doi.org/10.3390/app122010337.
Texto completoWu, Yi, Naiwang Guo, Binbin Wang y Lei Zhang. "Research on Situational Awareness Technology of Industrial Control Network Based on Big Data". Journal of Physics: Conference Series 2216, n.º 1 (1 de marzo de 2022): 012079. http://dx.doi.org/10.1088/1742-6596/2216/1/012079.
Texto completoGe, Kao, Jian-Qiang Zhao y Yan-Yong Zhao. "GR-GNN: Gated Recursion-Based Graph Neural Network Algorithm". Mathematics 10, n.º 7 (4 de abril de 2022): 1171. http://dx.doi.org/10.3390/math10071171.
Texto completoKislyakov, Alexey N. "GRAPH CONVOLUTIONAL NEURAL NETWORKS APPLICATION PERSPECTIVES IN TERRITORIES SPATIAL CLUSTERING". SOFT MEASUREMENTS AND COMPUTING 2, n.º 63 (2023): 42–52. http://dx.doi.org/10.36871/2618-9976.2023.02.003.
Texto completoXu, Xiaofeng, Pengcheng Liu y Mingwu Guo. "Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network". ISPRS International Journal of Geo-Information 12, n.º 7 (21 de junio de 2023): 253. http://dx.doi.org/10.3390/ijgi12070253.
Texto completo张, 出阳. "Unsupervised Document Clustering Model Based on Topic Model and Graph Neural Network". Computer Science and Application 12, n.º 07 (2022): 1795–800. http://dx.doi.org/10.12677/csa.2022.127180.
Texto completoZhang, Jing. "An English Teaching Resource Recommendation System Based on Network Behavior Analysis". Scientific Programming 2021 (30 de noviembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/6191543.
Texto completoLi, Dan y Qian Gao. "Session Recommendation Model Based on Context-Aware and Gated Graph Neural Networks". Computational Intelligence and Neuroscience 2021 (13 de octubre de 2021): 1–10. http://dx.doi.org/10.1155/2021/7266960.
Texto completoFeng, Xiao y Yongdong Xu. "Multi-hop Information-based Graph Convolutional Network for Clustering". Journal of Physics: Conference Series 2555, n.º 1 (1 de julio de 2023): 012012. http://dx.doi.org/10.1088/1742-6596/2555/1/012012.
Texto completoJiang, Ming y Zhiwei Liu. "Traffic Flow Prediction Based on Dynamic Graph Spatial-Temporal Neural Network". Mathematics 11, n.º 11 (31 de mayo de 2023): 2528. http://dx.doi.org/10.3390/math11112528.
Texto completoXi, Ying y Xiaohui Cui. "Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength". Entropy 25, n.º 5 (5 de mayo de 2023): 754. http://dx.doi.org/10.3390/e25050754.
Texto completoWierciński, Tomasz, Mateusz Rock, Robert Zwierzycki, Teresa Zawadzka y Michał Zawadzki. "Emotion Recognition from Physiological Channels Using Graph Neural Network". Sensors 22, n.º 8 (13 de abril de 2022): 2980. http://dx.doi.org/10.3390/s22082980.
Texto completoMartin Happ, Matthias Herlich, Christian Maier, Jia Lei Du y Peter Dorfinger. "Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies". ITU Journal on Future and Evolving Technologies 2, n.º 4 (25 de junio de 2021): 1–8. http://dx.doi.org/10.52953/tejx5530.
Texto completo