"On Graph Learning with Neural Networks" - 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
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
On-Line Learning in Neural Networks	David Saad	2009	Cambridge University Press
On-Line Learning in Neural Networks	David Saad	1999-01	Cambridge University Press
Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Supervised Learning with Complex-valued Neural Networks	Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha	2013	Springer Berlin Heidelberg
Deep Learning with TensorFlow: Explore Neural Networks with Python	Giancarlo Zaccone; Md. Rezaul Karim; Ahmed Menshawy	2017	Packt Publishing
Bayesian Learning for Neural Networks	Radford M. Neal	1996	Springer New York
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2nd ed. 2019	Springer London
Subspace Learning of Neural Networks	Jian Cheng Lv; Zhang Yi; Jiliu Zhou	2011	Routledge
Neural networks and learning machines	Haykin, Simon	2008;2009	Pearson Education
Neural Networks and Learning Machines	Simon O. Haykin	2008	Prentice Hall
Neural Networks and Learning Machines	Simon S. Haykin	2009	Prentice Hall
Subspace learning of neural networks	Jian Cheng Lv	2011	CRC Press
Learning and Generalisation: With Applications to Neural Networks	Mathukumalli Vidyasagar	2nd ed. 2003	Springer London
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence	Phil Kim	1st ed.	Apress
Neural Networks with R.	Ciaburro, Giuseppe.	2017.	Packt Publishing,
Delay learning in artificial neural networks	Catherine E. Myers	1992	Chapman & Hall
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
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
Graph Neural Networks: Graph Structure Learning	Yu Chen; Lingfei Wu	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Inductive–Transductive Learning with Graph Neural Networks	Alberto Rossi; Matteo Tiezzi; Giovanna Maria Dimitri; Monica Bianchini; Marco Maggini; Franco Scarselli	Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings	Luca Pancioni; Friedhelm Schwenker; Edmondo Trentin	1st ed. 2018	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: Self-supervised Learning	Yu Wang; Wei Jin; Tyler Derr	Graph Neural Networks: Foundations, Frontiers, and Applications	Lingfei Wu; Peng Cui; Jian Pei; Liang Zhao	1st ed. 2022	Springer Nature Singapore
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network	Pedro Avelar; Henrique Lemos; Marcelo Prates; Luis Lamb	Artificial Neural Networks and Machine Learning – ICANN 2019: Workshop and Special Sessions: 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings	Igor V. Tetko; Věra Kůrková; Pavel Karpov; Fabian Theis	1st ed. 2019	Springer International Publishing
Neural graph learning		Advanced Deep Learning with Python: Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch	Ivan Vasilev	2019	Packt Publishing
Neural Graph Learning		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: 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
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries