"K-Pages Graph Drawing with Multivalued Neural Networks"

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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
Neural Networks with R.	Ciaburro, Giuseppe.	2017.	Packt Publishing,
Graph Drawing Software	Michael Jünger; Petra Mutzel	2004	Springer Berlin Heidelberg
Spectral graph drawing	Thomas Puppe	2008	VDM Verlag
Planar graph drawing	T Nishizeki; Md Saidur Rahman	2004	World Scientific
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Computational Mechanics with Neural Networks	Genki Yagawa; Atsuya Oishi	1st ed. 2021	Springer International Publishing
Exploring Neural Networks with C#	Ryszard Tadeusiewicz; Rituparna Chaki; Nabendu Chaki	2015	Routledge
Simulating neural networks with Mathematica	Freeman, James A.	1994	Addison-Wesley
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 Networks with Discontinuous/Impact Activations	Marat Akhmet; Enes Yılmaz	2014	Springer New York
Modelling Perception with Artificial Neural Networks	Colin R. Tosh; Graeme D. Ruxton	2010-06	Cambridge University Press
Introduction to Neural Networks with Java	Jeff, T Heaton	November 25, 2005	Heaton Research, Inc.
Neural Modeling and Neural Networks	F. Ventriglia	1994	Pergamon
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
K-Pages Graph Drawing with Multivalued Neural Networks	Domingo López-Rodríguez; Enrique Mérida-Casermeiro; Juan M. Ortíz-de-Lazcano-Lobato; Gloria Galán-Marín	Artificial Neural Networks - ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II	Joaquim Marques de Sá; Luis A. Alexandre; Wlodzislaw Duch; Danilo Mandic	2007	Springer Berlin Heidelberg
K -Pages Graph Drawing with Multivalued Neural Networ		Artificial Neural Networks – ICANN 2007: 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II	Philipp Wolfrum, Christoph von der Malsburg (auth.), Joaquim Marques de Sá, Luís A. Alexandre, Włodzisław Duch, Danilo Mandic (eds.)	2007	Springer-Verlag Berlin Heidelberg
Two Pages Graph Layout Via Recurrent Multivalued Neural Networks	Domingo López-Rodríguez; Enrique Mérida-Casermeiro; Juan M. Ortíz-de-Lazcano-Lobato; Gloria Galán-Marín	Computational and Ambient Intelligence: 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings	Francisco Sandoval; Alberto Prieto; Joan Cabestany; Manuel Graña	2007	Springer Berlin Heidelberg
Graph Partitioning via Recurrent Multivalued Neural Networks	Enrique Mérida-Casermeiro; Domingo López-Rodríguez	Computational Intelligence and Bioinspired Systems: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings	Joan Cabestany; Alberto Prieto; Francisco Sandoval	2005	Springer Berlin Heidelberg
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: 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
On Graph Learning with Neural Networks	Zahra Jandaghi; Liming Cai	Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II	Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Giorgio Jansen; Vincenzo Sciacca; Panos Pardalos; Giovanni Giuffrida; Renato Umeton	1st ed. 2020	Springer International Publishing
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