Deep Learning on Graphs - Hardcover

Ma, Yao; Tang, Jiliang

Hardcover

ISBN 10: 1108831745 ISBN 13: 9781108831741

Publisher: Cambridge University Press, 2021

Synopsis

A comprehensive text on foundations and techniques of graph neural networks with applications in NLP, data mining, vision and healthcare.

About this title

About the Authors

Yao Ma is a PhD student of the Department of Computer Science and Engineering at Michigan State University (MSU). He is the recipient of the Outstanding Graduate Student Award and FAST Fellowship at MSU. He has published papers in top conferences such as WSDM, ICDM, SDM, WWW, IJCAI, SIGIR and KDD, which have been cited hundreds of times. He is the leading organizer and presenter of tutorials on GNNs at AAAI'20, KDD'20 and AAAI'21, which received huge attention and wide acclaim. He has served as Program Committee Members/Reviewers in many well-known conferences and magazines such as AAAI, BigData, IJCAI, TWEB, TKDD and TPAMI.

Jiliang Tang is Assistant Professor in the Department of Computer Science and Engineering at Michigan State University. Previously, he was a research scientist in Yahoo Research. He received the 2020 SIGKDD Rising Star Award, 2020 Distinguished Withrow Research Award, 2019 NSF Career Award, the 2019 IJCAI Early Career Invited Talk and 7 best paper (runnerup) awards. He has organized top data science conferences including KDD, WSDM and SDM, and is associate editor of the TKDD journal. His research has been published in highly ranked journals and top conferences, and received more than 12,000 citations with h-index 55 and extensive media coverage.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2021
• Language: English
• ISBN 10: 1108831745
• ISBN 13: 9781108831741
• Binding: Hardcover
• Edition number: 1
• Number of pages: 400