剧情简介：Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, incl...(展开全部)
作者：William L. Hamilton
出版社：Morgan & Claypool
ISBN：9781681739632
