Advancing Recommender Systems with Graph Convolutional Networks
Author:   Fan Liu ,  Liqiang Nie
Publisher:   Springer International Publishing AG
ISBN:  

9783031850929


Pages:   157
Publication Date:   30 March 2025
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Advancing Recommender Systems with Graph Convolutional Networks


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Author:   Fan Liu ,  Liqiang Nie
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
ISBN:  

9783031850929


ISBN 10:   3031850920
Pages:   157
Publication Date:   30 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Preface.- 1) Introduction.- 2) Interest-aware Message-Passing Graph Convolutional Network.- 3) Cluster-based Graph Collaborative Filtering.- 4) Semantic Aspect-aware Graph Convolutional Network.- 5) Attribute-aware Attentive Graph Convolutional Network.- 6) Light Graph Transformer Model.- 7) Research Frontiers.

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Author Information

Fan Liu is a Research Fellow with the School of Computing, National University of Singapore (NUS). His research interests lie primarily in multimedia computing and information retrieval. His work has been published in a set of top forums, including ACM SIGIR, MM, WWW, TKDE, TOIS, TMM, and TCSVT. He is an area chair of ACM MM and a senior PC member of CIKM. Liqiang Nie is Professor at and Dean of the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen). His research interests are primarily in multimedia computing and information retrieval. He has co-authored more than 200 articles and four books. He is a regular area chair of ACM MM, NeurIPS, IJCAI, and AAAI, and a member of ICME steering committee. He has received many awards, like the ACM MM and SIGIR best paper honorable mention in 2019, SIGMM rising star in 2020, TR35 China 2020, DAMO Academy Young Fellow in 2020, and SIGIR best student paper in 2021.

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