Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation-Reference-Cited by-同舟云学术

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
language:
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Author:

Pang Yitong¹,Wu Lingfei²,Shen Qi¹,Zhang Yiming¹,Wei Zhihua¹,Xu Fangli³,Chang Ethan⁴,Long Bo⁵,Pei Jian⁶

Affiliation:

1. Tongji University, Shanghai, China

2. JD.COM Silicon Valley Research Center, Mountain View, CA, USA

3. Squirrel AI Learning, New York, NY, USA

4. Middlesex School, Concord, MA, USA

5. JD.com, Beijing, China

6. Simon Fraser University, Vancouver, BC, Canada

Funder

Shanghai Science and Technology Plan Project

Technology research plan project of Ministry of Public and Security

the National Nature Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498505

Reference35 articles.

1. Tianwen Chen and Raymond Chi-Wing Wong. 2020. Handling Information Loss of Graph Neural Networks for Session-based Recommendation. In KDD . 1172--1180. Tianwen Chen and Raymond Chi-Wing Wong. 2020. Handling Information Loss of Graph Neural Networks for Session-based Recommendation. In KDD . 1172--1180.

2. Tianwen Chen and Raymond Chi-Wing Wong. 2021. An Efficient and Effective Framework for Session-based Social Recommendation. In WSDM . 400--408. Tianwen Chen and Raymond Chi-Wing Wong. 2021. An Efficient and Effective Framework for Session-based Social Recommendation. In WSDM . 400--408.

3. Yu Chen , Lingfei Wu , and Mohammed J Zaki . 2019 . Reinforcement learning based graph-to-sequence model for natural question generation . In ICLR 2020 . Yu Chen, Lingfei Wu, and Mohammed J Zaki. 2019. Reinforcement learning based graph-to-sequence model for natural question generation. In ICLR 2020 .

4. Yu Chen Lingfei Wu and Mohammed J Zaki. 2020. Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. In NeurIPS 2020 . Yu Chen Lingfei Wu and Mohammed J Zaki. 2020. Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings. In NeurIPS 2020 .

5. Improving Music Recommendation in Session-Based Collaborative Filtering by Using Temporal Context

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