Literatura académica sobre el tema "Graph-based neural network model"
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Artículos de revistas sobre el tema "Graph-based neural network model"
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 completoTesis sobre el tema "Graph-based neural network model"
McMichael, Lonny D. (Lonny Dean). "A Neural Network Configuration Compiler Based on the Adaptrode Neuronal Model". Thesis, University of North Texas, 1992. https://digital.library.unt.edu/ark:/67531/metadc501018/.
Texto completoKoessler, Denise Renee. "A Predictive Model for Secondary RNA Structure Using Graph Theory and a Neural Network". Digital Commons @ East Tennessee State University, 2010. https://dc.etsu.edu/etd/1684.
Texto completoCalvert, David. "A distance-based neural network model for sequence processing". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0010/NQ30591.pdf.
Texto completoOzkok, Yusuf Ibrahim. "Web Based Ionospheric Forecasting Using Neural Network And Neurofuzzy Models". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/3/12606031/index.pdf.
Texto completoFUTIA, GIUSEPPE. "Neural Networks forBuilding Semantic Models and Knowledge Graphs". Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2850594.
Texto completoThiruvengadachari, Sathish. "Experimental and neural network-based model for human-machine systems reliability". Diss., Online access via UMI:, 2006.
Buscar texto completoZorzetto, Luiz Flavio Martins. "Bioprocess monitoring with hybrid neural network/mechanistic model based state estimators". Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283350.
Texto completoWang, Feng. "Neural network model of memory reinforcement for text-based intelligent tutoring system". Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape16/PQDD_0021/NQ30122.pdf.
Texto completoWredh, Simon. "Neural Network Based Model Predictive Control of Turbulent Gas-Solid Corner Flow". Thesis, Uppsala universitet, Signaler och system, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420056.
Texto completoDai, Jing. "Reservoir-computing-based, biologically inspired artificial neural networks and their applications in power systems". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47646.
Texto completoLibros sobre el tema "Graph-based neural network model"
T, Bialasiewicz Jan y Langley Research Center, eds. Neural network modeling of nonlinear systems based on Volterra series extension of a linear model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.
Buscar texto completoNeural networks and intellect: Using model-based concepts. Oxford: Oxford University Press, 2001.
Buscar texto completoGrzeszczuk, Radek. Neuroanimator: Fast neural network emulation and control of physics-based models. Toronto: University of Toronto, Dept. of Computer Science, 1998.
Buscar texto completoEl-Gindy, Moustafa. Development of a tire/pavement contact-stress model based on artificial neural networks. McLean, Va. (6300 Georgetown Pike, McLean, 22101-2296): U.S, Dept. of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2001.
Buscar texto completoEl-Gindy, Moustafa. Development of a tire/pavement contact-stress model based on artificial neural networks. McLean, VA: U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2001.
Buscar texto completoHiroaki, Wagatsuma, ed. Neuromorphic and brain-based robots. Cambridge, UK: Cambridge University Press, 2011.
Buscar texto completoMilford, Michael John. Robot navigation from nature: Simultaneous localisation, mapping, and path planning based on hippocampal models. Berlin: Springer, 2008.
Buscar texto completoShishkin, Aleksey. Methods of digital processing and speech recognition. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1904325.
Texto completoPerlovsky, Leonid I. Neural Networks and Intellect: Using Model-Based Concepts. Oxford University Press, USA, 2000.
Buscar texto completoAnderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0012.
Texto completoCapítulos de libros sobre el tema "Graph-based neural network model"
Liu, Wei-ming. "Knowledge Dissemination Model Based on Graph Neural Network". En Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022), 3157–63. Paris: Atlantis Press SARL, 2022. http://dx.doi.org/10.2991/978-2-494069-31-2_370.
Texto completoAn, Zhiwei, Yirui Tan, Jinli Zhang, Zongli Jiang y Chen Li. "A Session Recommendation Model Based on Heterogeneous Graph Neural Network". En Knowledge Science, Engineering and Management, 160–71. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40289-0_13.
Texto completoLi, Zhijun, Chenguang Yang y Liping Fan. "Neural Network Based Model Reference Control". En Advanced Control of Wheeled Inverted Pendulum Systems, 193–210. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2963-9_9.
Texto completoWasserman, Theodore y Lori Drucker Wasserman. "Mindfulness-Based Approaches and Attention Regulation". En Therapy and the Neural Network Model, 115–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26921-0_7.
Texto completoGrancharova, Alexandra y Tor Arne Johansen. "Explicit NMPC Based on Neural Network Models". En Explicit Nonlinear Model Predictive Control, 187–207. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28780-0_8.
Texto completoMing-zhong, Mo. "Network Security Analysis Based on Graph Theory Model with Neutral Network". En Lecture Notes in Electrical Engineering, 551–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27311-7_73.
Texto completoWang, Zhiyu, Xulun Hu, Fang Zuo, Hong Li, Yiran Zhang y Weifeng Wang. "A Graph Neural Network Based Model for IoT Binary Components Similarity Detection". En Communications in Computer and Information Science, 120–31. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-8350-4_10.
Texto completoSambamoorthy, Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru, Bhavesh Jain y Eitan Altman. "Graph Neural Network Based Scheduling: Improved Throughput Under a Generalized Interference Model". En Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 144–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92511-6_9.
Texto completoZhao, Cong, Yan Wen, Ming Chen y Geng Chen. "Recommendation Based Heterogeneous Information Network and Neural Network Model". En Wireless and Satellite Systems, 588–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69072-4_48.
Texto completoSeptiawan, Reza, Arief Rufiyanto, Sardjono Trihatmo, Budi Sulistya, Erik Madyo Putro y Subana Shanmuganathan. "Artificial Neural Network (ANN) Pricing Model for Natural Rubber Products Based on Climate Dependencies". En Artificial Neural Network Modelling, 423–42. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8_20.
Texto completoActas de conferencias sobre el tema "Graph-based neural network model"
Liu, Weidong, Haochen Zhang, Xu Guo y Yong Han. "Graph Convolutional Network Based Patent Issue Discovery Model". En 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533370.
Texto completoCao, Wanwan, Yu Lu, Quanxiao Wang, Jianchao Guan y Jun Guo. "Predictive model based on graph convolutional neural network". En 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734716.
Texto completoSun, Shuyuan, Xuelian Chen, Fan Yang, Bei Yu, Shang Li y Xuan Zeng. "Efficient Model-Based OPC via Graph Neural Network". En 2023 International Symposium of Electronics Design Automation (ISEDA). IEEE, 2023. http://dx.doi.org/10.1109/iseda59274.2023.10218720.
Texto completoLiu, Weidong, Xin Liu y Wenbo Qiao. "Bayesian Graph Convolutional Neural Network based Patent Valuation Model". En 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 2020. http://dx.doi.org/10.1109/ijcnn48605.2020.9207247.
Texto completoFeng, Qi, Yuan Tan, Ming Zhou, Guangjun Zeng, Zhe Chen, Yiming Liu y Yifeng Li. "Recommendation Model Based on Deep Separated Graph Neural Network". En 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). IEEE, 2021. http://dx.doi.org/10.1109/icccbda51879.2021.9442597.
Texto completoTang, Hanchao, Licai Wang y Qibin Luo. "Trajectory-text retrieval model based on graph neural network". En Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), editado por Tao Zhang y Ting Yang. SPIE, 2023. http://dx.doi.org/10.1117/12.2660180.
Texto completoWang, Xinyu. "Graph Neural Network Model Based on Layered Converter Aggregation". En 2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI). IEEE, 2023. http://dx.doi.org/10.1109/icecai58670.2023.10176410.
Texto completoPan, Zeting, Yue Yu y Junsheng Chang. "A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model". En The 34th International Conference on Software Engineering and Knowledge Engineering. KSI Research Inc., 2022. http://dx.doi.org/10.18293/seke2022-042.
Texto completoZhang, Lianming, Benle Yin, Qian Wang y Pingping Dong. "Graph Neural Network-based Delay Prediction Model Enhanced by Network Calculus". En 2023 IFIP Networking Conference (IFIP Networking). IEEE, 2023. http://dx.doi.org/10.23919/ifipnetworking57963.2023.10186434.
Texto completoLi, Xiaoling, Zixuan Guan, Qian Xu, Shenze Huang y Junxian Wang. "Graph Classification Model Based on Graph Neural Networks and Graph Distance". En 2021 8th International Conference on Computational Science/Intelligence and Applied Informatics (CSII). IEEE, 2021. http://dx.doi.org/10.1109/csii54342.2021.00022.
Texto completoInformes sobre el tema "Graph-based neural network model"
Mu, Ruihui. A Novel Recommendation Model Based on Deep Neural Network. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, mayo de 2020. http://dx.doi.org/10.7546/crabs.2020.05.11.
Texto completoChen, Lynda y Cameron Brennan. Preliminary to a Neural Network Model of Sonar-Based Target Discrimination in the Echolocating Bat. Fort Belvoir, VA: Defense Technical Information Center, mayo de 1988. http://dx.doi.org/10.21236/ada205681.
Texto completoOlsen y Willson. L51916 Pressure Based Parametric Emission Monitoring Systems (PEMS). Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), abril de 2002. http://dx.doi.org/10.55274/r0010181.
Texto completoYaroshchuk, Svitlana O., Nonna N. Shapovalova, Andrii M. Striuk, Olena H. Rybalchenko, Iryna O. Dotsenko y Svitlana V. Bilashenko. Credit scoring model for microfinance organizations. [б. в.], febrero de 2020. http://dx.doi.org/10.31812/123456789/3683.
Texto completoFerguson, Spencer, William McNally y John McPhee. Predicting the Flight of a Golf Ball: Comparing a Physics-Based Aerodynamic Model to a Neural Network. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317493.
Texto completoSemerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo y Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], noviembre de 2018. http://dx.doi.org/10.31812/123456789/2648.
Texto completoEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak y Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, julio de 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Texto completoSemerikov, Serhiy, Illia Teplytskyi, Yuliia Yechkalo, Oksana Markova, Vladimir Soloviev y Arnold Kiv. Computer Simulation of Neural Networks Using Spreadsheets: Dr. Anderson, Welcome Back. [б. в.], junio de 2019. http://dx.doi.org/10.31812/123456789/3178.
Texto completoSemerikov, Serhiy, Hanna Kucherova, Vita Los y Dmytro Ocheretin. Neural Network Analytics and Forecasting the Country's Business Climate in Conditions of the Coronavirus Disease (COVID-19). CEUR Workshop Proceedings, abril de 2021. http://dx.doi.org/10.31812//123456789/4364.
Texto completoGindi, Gene. Neural Networks for Model-Based Recognition. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1993. http://dx.doi.org/10.21236/ada277375.
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