Books on the topic 'Graph Neural Networks (GNNs)'
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Consult the top 31 books for your research on the topic 'Graph Neural Networks (GNNs).'
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Liu, Zhiyuan, and Jie Zhou. Introduction to Graph Neural Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01587-8.
Full textShi, Chuan, Xiao Wang, and Cheng Yang. Advances in Graph Neural Networks. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16174-2.
Full textWu, Lingfei, Peng Cui, Jian Pei, and Liang Zhao, eds. Graph Neural Networks: Foundations, Frontiers, and Applications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6054-2.
Full text1955-, Lucas Peter, Gámez José A, and Salmerón Antonio, eds. Advances in probabilistic graphical models. Springer, 2007.
Find full textZhou, Jie, and Zhiyuan Liu. Introduction to Graph Neural Networks. Morgan & Claypool Publishers, 2020.
Find full textZhou, Jie, and Zhiyuan Liu. Introduction to Graph Neural Networks. Morgan & Claypool Publishers, 2020.
Find full textZhou, Jie, and Zhiyuan Liu. Introduction to Graph Neural Networks. Morgan & Claypool Publishers, 2020.
Find full textLiu, Zhiyuan Zhiyuan, and Jie Jie Zhou. Introduction to Graph Neural Networks. Springer International Publishing AG, 2020.
Find full textWang, Xiao, Cheng Yang, and Chuan Shi. Advances in Graph Neural Networks. Springer International Publishing AG, 2022.
Find full textPei, Jian, Liang Zhao, Peng Cui, and Lingfei Wu. Graph Neural Networks: Foundations, Frontiers, and Applications. Springer Singapore Pte. Limited, 2021.
Find full textShen, Kai, Xiaojie Guo, and Hanning Gao. Graph Neural Networks for Natural Language Processing: A Survey. Now Publishers, 2023.
Find full textGaleone, Paolo. Hands-On Neural Networks with TensorFlow 2.0: Understand TensorFlow, from static graph to eager execution, and design neural networks. Packt Publishing, 2019.
Find full textFallani, Fabrizio, and Fabio Babiloni. Graph Theoretical Approach in Brain Functional Networks: Theory and Applications. Springer International Publishing AG, 2010.
Find full textFallani, Fabrizio, and Fabio Babiloni. Graph Theoretical Approach in Brain Functional Networks: Theory and Applications. Morgan & Claypool Publishers, 2010.
Find full textBabiloni, Fabio, Fabrizio De Vico Fallani, and Fabrizio De Vico Fallani. The Graph Theoretical Approach in Brain Functional Networks: Theory and Applications. Morgan & Claypool Publishers, 2010.
Find full textLabonne, Maxime. Hands-On Graph Neural Networks Using Python: Practical Techniques and Architectures for Building Powerful Graph and Deep Learning Apps with Pytorch. Packt Publishing, Limited, 2023.
Find full textStatistical And Evolutionary Analysis Of Biological Networks. Imperial College Press, 2010.
Find full textStatistical and Evolutionary Analysis of Biological Networks. Imperial College Press, 2009.
Find full text(Editor), Peter Lucas, José A. Gámez (Editor), and Antonio Salmerón (Editor), eds. Advances in Probabilistic Graphical Models (Studies in Fuzziness and Soft Computing). Springer, 2007.
Find full textLeordeanu, Marius. Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision Using Graph-Based Techniques and Deep Neural Networks. Springer International Publishing AG, 2021.
Find full textLeordeanu, Marius. Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks. Springer, 2020.
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