Disentangled Graph Neural Networks for Session-Based Recommendation-Reference-Cited by-同舟云学术

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Disentangled Graph Neural Networks for Session-Based Recommendation

Published:2023 Issue: Volume: Page:1-13
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li Ansong¹,Cheng Zhiyong¹^ORCID,Liu Fan²^ORCID,Gao Zan¹^ORCID,Guan Weili³^ORCID,Peng Yuxin⁴^ORCID

Affiliation:

1. Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), China

2. School of Computing, National University of Signapore, Singapore

3. Monash University, Australia

4. Wangxuan Institute of Computer Technology, Peking University, Beijing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09899738.pdf?arnumber=9899738

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-channel representation consistent recommender for session-based new item recommendation;Expert Systems with Applications;2024-09

2. Exploring multi-dimensional interests for session-based recommendation;Multimedia Systems;2024-08-13

3. Multi-perspective learning for enhanced user preferences for session-based recommendation;Knowledge-Based Systems;2024-08

4. A Novel Popularity Extraction Method Applied in Session-Based Recommendation;Tsinghua Science and Technology;2024-08

5. Enhancing Collaborative Information with Contrastive Learning for Session-based Recommendation;Information Processing & Management;2024-07

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