Cambridge University Press is pleased to announce the recent publication of Deep Learning on Graphs by Yao Ma and Jiliang Tang of Michigan State University.
This comprehensive text on the theory and techniques of graph neural networks takes students, practitioners, and researchers from the basics to the state of the art. It systematically introduces foundational topics such as filtering pooling, robustness, and scalability and then demonstrates applications in NLP, data mining, vision and healthcare.
Find out more: www.cambridge.org/9781108831741