HetGRec: Heterogeneous Graph Attention Network for Group Recommendation-Reference-Cited by-同舟云学术

HetGRec: Heterogeneous Graph Attention Network for Group Recommendation

Published:2023-01-01 Issue:1 Volume:38 Page:9-18
ISSN:1541-1672
Container-title:IEEE Intelligent Systems
language:
Short-container-title:IEEE Intell. Syst.

Author:

Zhang Song¹^ORCID,Zheng Nan¹,Wang Danli¹^ORCID

Affiliation:

1. Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing & Key project of Science and Technology Plan of the Beijing Municipal Education Commission

Strategic Priority Research Program of the Chinese Academy of Sciences

Research and Development Foundation of The Institute of Automation of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/9670/10059303/09906312.pdf?arnumber=9906312

Reference20 articles.

1. Interact and decide: Medley of sub-attention networks for effective group recommendation;tran;Proc 32nd Int ACM SIGIR Conf Res Develop Inf Retrieval,0

2. Attentive Group Recommendation

3. metapath2vec

4. Social Influence-Based Group Representation Learning for Group Recommendation

5. Alleviating the data sparsity problem of recommender systems by clustering nodes in bipartite networks

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