Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation-Reference-Cited by-同舟云学术

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Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Wang Xinhua¹,Yue Houping¹,Wang Zizheng²,Xu Liancheng¹,Zhang Jinyu³

Affiliation:

1. Shandong Normal University,School of Information Science and Engineering,China

2. Shandong University,Zhongtai Securities Institute for Financial Studies,China

3. Shandong University of Science and Technology,School of Computer Science and Engineering,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411670.pdf?arnumber=10411670

Reference37 articles.

1. Multi-behavior sequential recommendation with temporal graph transformer;Xia;TKDE,2023

2. Enhancing Sequential Recommendation with Graph Contrastive Learning

3. Debiased Contrastive Learning for Sequential Recommendation

4. Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation

5. Towards Lightweight Cross-Domain Sequential Recommendation via External Attention-Enhanced Graph Convolution Network

Cited by 1 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. Contrastive cross-domain sequential recommendation via emphasized intention features;Neural Networks;2024-11

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