Graph Neural Networks: Foundations, Frontiers, and Applications /

Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured data such as text. This gap has driven a wave of resea...

Full description

Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Wu, Lingfei (Editor), Cui, Peng (Editor), Pei, Jian (Editor), Zhao, Liang (Editor)
Format:	eBook
Language:	English
Published:	Singapore : Springer Singapore : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Subjects:	Machine learning. Artificial intelligence-Data processing. Data mining. Pattern recognition systems. Computer science. Machine Learning. Data Science. Data Mining and Knowledge Discovery. Automated Pattern Recognition. Models of Computation. Theory and Algorithms for Application Domains. Electronic books.
Online Access:	Connect to the full text of this electronic book