Статті в журналах з теми "Graph-based neural network model"
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Hao, Jia, Yonghong Tian, Qingqing Zhang, and Genmao Zhang. "Mongolian-Chinese Machine Translation Based on Graph Neural Network." Journal of Physics: Conference Series 2400, no. 1 (December 1, 2022): 012050. http://dx.doi.org/10.1088/1742-6596/2400/1/012050.
Повний текст джерелаScarselli, F., M. Gori, Ah Chung Tsoi, M. Hagenbuchner, and G. Monfardini. "The Graph Neural Network Model." IEEE Transactions on Neural Networks 20, no. 1 (January 2009): 61–80. http://dx.doi.org/10.1109/tnn.2008.2005605.
Повний текст джерелаElnaggar, Sarah G., Ibrahim E. Elsemman, and Taysir Hassan A. Soliman. "Embedding-Based Deep Neural Network and Convolutional Neural Network Graph Classifiers." Electronics 12, no. 12 (June 17, 2023): 2715. http://dx.doi.org/10.3390/electronics12122715.
Повний текст джерелаBi, Zhongqin, Lina Jing, Meijing Shan, Shuming Dou, and Shiyang Wang. "Hierarchical Social Recommendation Model Based on a Graph Neural Network." Wireless Communications and Mobile Computing 2021 (August 31, 2021): 1–10. http://dx.doi.org/10.1155/2021/9107718.
Повний текст джерелаAlBadani, Barakat, Ronghua Shi, Jian Dong, Raeed Al-Sabri, and Oloulade Babatounde Moctard. "Transformer-Based Graph Convolutional Network for Sentiment Analysis." Applied Sciences 12, no. 3 (January 26, 2022): 1316. http://dx.doi.org/10.3390/app12031316.
Повний текст джерелаLi, Boao. "Multi-modal sentiment analysis based on graph neural network." Applied and Computational Engineering 6, no. 1 (June 14, 2023): 792–98. http://dx.doi.org/10.54254/2755-2721/6/20230918.
Повний текст джерелаXu, Jinling, Yanping Chen, Yongbin Qin, Ruizhang Huang, and Qinghua Zheng. "A Feature Combination-Based Graph Convolutional Neural Network Model for Relation Extraction." Symmetry 13, no. 8 (August 9, 2021): 1458. http://dx.doi.org/10.3390/sym13081458.
Повний текст джерелаGao, Huiguo, Mengyuan Lee, Guanding Yu, and Zhaolin Zhou. "A Graph Neural Network Based Decentralized Learning Scheme." Sensors 22, no. 3 (January 28, 2022): 1030. http://dx.doi.org/10.3390/s22031030.
Повний текст джерелаZhong, Hongwei, Mingyang Wang, and Xinyue Zhang. "HeMGNN: Heterogeneous Network Embedding Based on a Mixed Graph Neural Network." Electronics 12, no. 9 (May 6, 2023): 2124. http://dx.doi.org/10.3390/electronics12092124.
Повний текст джерелаZhang, Guoxing, Haixiao Wang, and 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 (August 11, 2021): 902–12. http://dx.doi.org/10.46300/9106.2021.15.97.
Повний текст джерелаIrani Hoeronis and Bambang Riyanto Trilaksono. "Node Classification on The Citation Network Using Graph Neural Network." Inspiration: Jurnal Teknologi Informasi dan Komunikasi 13, no. 1 (June 30, 2023): 96–105. http://dx.doi.org/10.35585/inspir.v13i1.49.
Повний текст джерелаBuchhorn, Katie, Edgar Santos-Fernandez, Kerrie Mengersen, and Robert Salomone. "Graph neural network-based anomaly detection for river network systems." F1000Research 12 (August 16, 2023): 991. http://dx.doi.org/10.12688/f1000research.136097.1.
Повний текст джерелаSerafini, Marco. "Scalable Graph Neural Network Training." ACM SIGOPS Operating Systems Review 55, no. 1 (June 2, 2021): 68–76. http://dx.doi.org/10.1145/3469379.3469387.
Повний текст джерелаCui, Mengtian, Songlin Long, Yue Jiang, and Xu Na. "Research of Software Defect Prediction Model Based on Complex Network and Graph Neural Network." Entropy 24, no. 10 (September 27, 2022): 1373. http://dx.doi.org/10.3390/e24101373.
Повний текст джерелаZhu, Zhiying, Hang Zhou, Siyuan Xing, Zhenxing Qian, Sheng Li, and Xinpeng Zhang. "Perceptual Hash of Neural Networks." Symmetry 14, no. 4 (April 13, 2022): 810. http://dx.doi.org/10.3390/sym14040810.
Повний текст джерелаZhu, Hongqiang. "A graph neural network-enhanced knowledge graph framework for intelligent analysis of policing cases." Mathematical Biosciences and Engineering 20, no. 7 (2023): 11585–604. http://dx.doi.org/10.3934/mbe.2023514.
Повний текст джерелаSon, Jeongtae, and Dongsup Kim. "Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities." PLOS ONE 16, no. 4 (April 8, 2021): e0249404. http://dx.doi.org/10.1371/journal.pone.0249404.
Повний текст джерелаZhao, Chensu, Yang Xin, Xuefeng Li, Hongliang Zhu, Yixian Yang, and Yuling Chen. "An Attention-Based Graph Neural Network for Spam Bot Detection in Social Networks." Applied Sciences 10, no. 22 (November 18, 2020): 8160. http://dx.doi.org/10.3390/app10228160.
Повний текст джерелаNan, Mihai, and Adina Magda Florea. "Fast Temporal Graph Convolutional Model for Skeleton-Based Action Recognition." Sensors 22, no. 19 (September 20, 2022): 7117. http://dx.doi.org/10.3390/s22197117.
Повний текст джерелаYang, Shuai, Yueqin Zhang, and Zehua Zhang. "Runoff Prediction Based on Dynamic Spatiotemporal Graph Neural Network." Water 15, no. 13 (July 5, 2023): 2463. http://dx.doi.org/10.3390/w15132463.
Повний текст джерелаLiu, Qiang, Wei Zhu, Feng Ma, Xiyu Jia, Yu Gao, and Jun Wen. "Graph attention network-based fluid simulation model." AIP Advances 12, no. 9 (September 1, 2022): 095114. http://dx.doi.org/10.1063/5.0122165.
Повний текст джерелаZhu, Li, Xin Pan, Xinpeng Wang, and Fu Haito. "A Small Sample Recognition Model for Poisonous and Edible Mushrooms based on Graph Convolutional Neural Network." Computational Intelligence and Neuroscience 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/2276318.
Повний текст джерелаLin, Lei, Weizi Li, and Lei Zhu. "Data-Driven Graph Filter-Based Graph Convolutional Neural Network Approach for Network-Level Multi-Step Traffic Prediction." Sustainability 14, no. 24 (December 13, 2022): 16701. http://dx.doi.org/10.3390/su142416701.
Повний текст джерелаWu, Wei, Guangmin Hu, and Fucai Yu. "Ricci Curvature-Based Semi-Supervised Learning on an Attributed Network." Entropy 23, no. 3 (February 27, 2021): 292. http://dx.doi.org/10.3390/e23030292.
Повний текст джерелаShi, Ming, Jing Zhao, and Donglin Wu. "Convolutional Neural Network Knowledge Graph Link Prediction Model Based on Relational Memory." Computational Intelligence and Neuroscience 2023 (January 31, 2023): 1–9. http://dx.doi.org/10.1155/2023/3909697.
Повний текст джерелаLi, Wei, Shaogang Gong, and Xiatian Zhu. "Neural Graph Embedding for Neural Architecture Search." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4707–14. http://dx.doi.org/10.1609/aaai.v34i04.5903.
Повний текст джерелаHuang, Zhenhua, Yinhao Tang, and Yunwen Chen. "A graph neural network-based node classification model on class-imbalanced graph data." Knowledge-Based Systems 244 (May 2022): 108538. http://dx.doi.org/10.1016/j.knosys.2022.108538.
Повний текст джерелаGan, Ling, and Peng He. "Single Document Extractive Summarization Model Based on Heterogeneous Graph Transformer." Journal of Physics: Conference Series 2171, no. 1 (January 1, 2022): 012012. http://dx.doi.org/10.1088/1742-6596/2171/1/012012.
Повний текст джерелаChen, Yu-Hung, Jiann-Liang Chen, and Ren-Feng Deng. "Similarity-Based Malware Classification Using Graph Neural Networks." Applied Sciences 12, no. 21 (October 26, 2022): 10837. http://dx.doi.org/10.3390/app122110837.
Повний текст джерелаHan, Xiao, Chunhong Zhang, Yang Ji, and 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.
Повний текст джерелаWang, Bin, Yu Chen, Jinfang Sheng, and Zhengkun He. "Attributed Graph Embedding Based on Attention with Cluster." Mathematics 10, no. 23 (December 1, 2022): 4563. http://dx.doi.org/10.3390/math10234563.
Повний текст джерелаJing, Weipeng, Xianyang Song, Donglin Di, and Houbing Song. "geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 5 (September 30, 2021): 1–18. http://dx.doi.org/10.1145/3434239.
Повний текст джерелаLiao, Guoqiong, and Xiaobin Deng. "Leveraging Social Relationship-Based Graph Attention Model for Group Event Recommendation." Wireless Communications and Mobile Computing 2020 (October 29, 2020): 1–14. http://dx.doi.org/10.1155/2020/8834450.
Повний текст джерелаLi, Guoyan, Yihui Shang, Yi Liu, and Xiangru Zhou. "A Network Traffic Prediction Model Based on Graph Neural Network in Software-Defined Networking." International Journal of Information Security and Privacy 16, no. 1 (January 1, 2022): 1–17. http://dx.doi.org/10.4018/ijisp.309130.
Повний текст джерелаZhang, Yinan, and Wenyu Chen. "Incorporating Siamese Network Structure into Graph Neural Network." Journal of Physics: Conference Series 2171, no. 1 (January 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2171/1/012023.
Повний текст джерелаHu, Zhiqiu, Fengjing Shao, and Rencheng Sun. "A New Perspective on Traffic Flow Prediction: A Graph Spatial-Temporal Network with Complex Network Information." Electronics 11, no. 15 (August 4, 2022): 2432. http://dx.doi.org/10.3390/electronics11152432.
Повний текст джерелаZhu, Lingxiao. "E-Commerce Recommendation Algorithm based on Graph Neural Network." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1264–68. http://dx.doi.org/10.54097/hset.v39i.6752.
Повний текст джерелаLuo, Hairu, Peng Jia, Anmin Zhou, Yuying Liu, and Ziheng He. "Bridge Node Detection between Communities Based on GNN." Applied Sciences 12, no. 20 (October 13, 2022): 10337. http://dx.doi.org/10.3390/app122010337.
Повний текст джерелаWu, Yi, Naiwang Guo, Binbin Wang, and Lei Zhang. "Research on Situational Awareness Technology of Industrial Control Network Based on Big Data." Journal of Physics: Conference Series 2216, no. 1 (March 1, 2022): 012079. http://dx.doi.org/10.1088/1742-6596/2216/1/012079.
Повний текст джерелаGe, Kao, Jian-Qiang Zhao, and Yan-Yong Zhao. "GR-GNN: Gated Recursion-Based Graph Neural Network Algorithm." Mathematics 10, no. 7 (April 4, 2022): 1171. http://dx.doi.org/10.3390/math10071171.
Повний текст джерелаKislyakov, Alexey N. "GRAPH CONVOLUTIONAL NEURAL NETWORKS APPLICATION PERSPECTIVES IN TERRITORIES SPATIAL CLUSTERING." SOFT MEASUREMENTS AND COMPUTING 2, no. 63 (2023): 42–52. http://dx.doi.org/10.36871/2618-9976.2023.02.003.
Повний текст джерелаXu, Xiaofeng, Pengcheng Liu, and Mingwu Guo. "Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network." ISPRS International Journal of Geo-Information 12, no. 7 (June 21, 2023): 253. http://dx.doi.org/10.3390/ijgi12070253.
Повний текст джерела张, 出阳. "Unsupervised Document Clustering Model Based on Topic Model and Graph Neural Network." Computer Science and Application 12, no. 07 (2022): 1795–800. http://dx.doi.org/10.12677/csa.2022.127180.
Повний текст джерелаZhang, Jing. "An English Teaching Resource Recommendation System Based on Network Behavior Analysis." Scientific Programming 2021 (November 30, 2021): 1–9. http://dx.doi.org/10.1155/2021/6191543.
Повний текст джерелаLi, Dan, and Qian Gao. "Session Recommendation Model Based on Context-Aware and Gated Graph Neural Networks." Computational Intelligence and Neuroscience 2021 (October 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/7266960.
Повний текст джерелаFeng, Xiao, and Yongdong Xu. "Multi-hop Information-based Graph Convolutional Network for Clustering." Journal of Physics: Conference Series 2555, no. 1 (July 1, 2023): 012012. http://dx.doi.org/10.1088/1742-6596/2555/1/012012.
Повний текст джерелаJiang, Ming, and Zhiwei Liu. "Traffic Flow Prediction Based on Dynamic Graph Spatial-Temporal Neural Network." Mathematics 11, no. 11 (May 31, 2023): 2528. http://dx.doi.org/10.3390/math11112528.
Повний текст джерелаXi, Ying, and Xiaohui Cui. "Identifying Influential Nodes in Complex Networks Based on Information Entropy and Relationship Strength." Entropy 25, no. 5 (May 5, 2023): 754. http://dx.doi.org/10.3390/e25050754.
Повний текст джерелаWierciński, Tomasz, Mateusz Rock, Robert Zwierzycki, Teresa Zawadzka, and Michał Zawadzki. "Emotion Recognition from Physiological Channels Using Graph Neural Network." Sensors 22, no. 8 (April 13, 2022): 2980. http://dx.doi.org/10.3390/s22082980.
Повний текст джерелаMartin Happ, Matthias Herlich, Christian Maier, Jia Lei Du, and Peter Dorfinger. "Graph-neural-network-based delay estimation for communication networks with heterogeneous scheduling policies." ITU Journal on Future and Evolving Technologies 2, no. 4 (June 25, 2021): 1–8. http://dx.doi.org/10.52953/tejx5530.
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