Introduction to graph neural networks
Liu, Zhiyuan
Introduction to graph neural networks - California Morgan & Claypool Publishers 2020 - xvii, 109p., - Synthesis Lectures on Artificial Intelligence and Machine Learning .
https://www.morganclaypool.com/loi/aim
This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks.
9781681737652 (pbk.)
Computer science
Graph theory
Neural networks
006.32 / LIU
Introduction to graph neural networks - California Morgan & Claypool Publishers 2020 - xvii, 109p., - Synthesis Lectures on Artificial Intelligence and Machine Learning .
https://www.morganclaypool.com/loi/aim
This book provides a comprehensive introduction to the basic concepts, models, and applications of graph neural networks. It starts with the introduction of the vanilla GNN model. Then several variants of the vanilla model are introduced such as graph convolutional networks, graph recurrent networks, graph attention networks, graph residual networks, and several general frameworks.
9781681737652 (pbk.)
Computer science
Graph theory
Neural networks
006.32 / LIU