"Graph Neural Networks: Graph Matching" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Introduction to Graph Neural Networks	Zhiyuan Liu; Jie Zhou		Springer International Publishing
Introduction to Graph Neural Networks	Zhiyuan Liu, Jie Zhou	2020	Morgan & Claypool
Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph factors and matching extensions	Qinglin Yu	2009	Higher Education Press;Springer
Neural Networks	Herve Abdi; Dominique Valentin; Betty Edelman	December 1998	SAGE Publications, Inc
Neural Networks	E. Gelenbe	1992	North-Holland
Neural Networks	Eric Davalo, Patrick Naïm (auth.)	1991	Macmillan Education UK
Neural networks /	Abdi, Hervé.; Valentin, Dominique.; Edelman, Betty.	[1999], ©1999.	Sage Publications,
Neural networks	Philip Picton	2000	Palgrave
Neural Modeling and Neural Networks	F. Ventriglia	1994	Pergamon
Fast parallel algorithms for graph matching problems	Marek Karpiński	1998	Clarendon Press
Constructive Neural Networks	Leonardo Franco; José M. Jerez	2010	Springer Berlin Heidelberg
Neural Networks Theory	Alexander I. Galushkin	2007	Springer Berlin Heidelberg
Optical Neural Networks	Cornelia Denz	1998	Vieweg+Teubner Verlag
Artificial Neural Networks	Hugh Cartwright	2nd ed. 2015	Springer New York
Artificial Neural Networks	Hugh Cartwright	3rd ed. 2021	Springer US
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
39. Neural Networks	John G. Webster (Editor)	1999	Wiley
Recurrent Neural Networks
Pulsed Neural Networks	Wolfgang Maass; Christopher M. Bishop	1998	MIT Press,
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Graph Neural Networks: Graph Matching	Xiang Ling; Lingfei Wu; Chunming Wu; Shouling Ji	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph Matching Recombination for Evolving Neural Networks	Ashique Mahmood; Sadia Sharmin; Debjanee Barua; Md. Monirul Islam	Advances in Neural Networks - ISNN 2007: 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part II	Derong Liu; Shumin Fei; Zengguang Hou; Huaguang Zhang; Changyin Sun	2007	Springer Berlin Heidelberg
Image Keypoint Matching Using Graph Neural Networks	Nancy Xu; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström	Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021	Rosa Maria Benito; Chantal Cherifi; Hocine Cherifi; Esteban Moro; Luis M. Rocha; Marta Sales-Pardo	1st ed. 2022	Springer International Publishing
Graph Neural Networks	Cao Xiao; Jimeng Sun	Introduction to Deep Learning for Healthcare	Cao Xiao; Jimeng Sun	1st ed. 2021	Springer International Publishing
Graph Neural Networks	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao; Le Song	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph Neural Networks	Jong Chul Ye	Geometry of Deep Learning: A Signal Processing Perspective	Jong Chul Ye	1st ed. 2022	Springer Nature Singapore
Graph Neural Networks		Machine and Deep Learning Algorithms and Applications	Uday Shankar Shanthamallu, Andreas Spanias	2021	Morgan & Claypool
Graph Neural Networks		Knowledge Graphs	Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia D'Amato, Gerard de Melo, Claudio Gutierrez, Sabrina Kirrane, Jose Emilio Labra Gayo, Roberto Navigli, Sebastian Neumaier, Axel-Cyrille Ngonga Ngomo, Axel Polleres, Sabbir M Rashid, Anisa Rula, Juan Sequeda, Lukas Schmelzeisen, Steffen Staab, Antoine Zimmerman	2021	Morgan & Claypool
Graph neural networks		Hands-On Mathematics for Deep Learning: Build a solid mathematical foundation for training efficient deep neural networks	Jay Dawani	2020	Packt Publishing
Graph Neural Networks		Graph Representation Learning	William L. Hamilton	2020	Morgan & Claypool
Graph neural networks		Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms	Claudio Stamile, Aldo Marzullo, Enrico Deusebio	2021	Packt Publishing
Graph Neural Networks		Artificial Intelligence and Quantum Computing for Advanced Wireless Networks	Savo G. Glisic; Beatriz Lorenzo	2022	Wiley Telecom
Graph Neural Networks	Giulia Fracastoro; Diego Valsesia	Graph Spectral Image Processing	Gene Cheung; Enrico Magli	2021	John Wiley & Sons
Graph Neural Networks		Probabilistic Machine Learning: An Introduction (Adaptive Computation and Machine Learning series)	Kevin P. Murphy	2022	The MIT Press
Graph Neural Networks: Graph Classification	Christopher Morris	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph Neural Networks: Graph Generation	Renjie Liao	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph Neural Networks: Graph Transformation	Xiaojie Guo; Shiyu Wang; Liang Zhao	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Graph Neural Networks: Scalability	Hehuan Ma; Yu Rong; Junzhou Huang	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Dynamic Graph Neural Networks	Seyed Mehran Kazemi	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Heterogeneous Graph Neural Networks	Chuan Shi	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries