Graph Neural Transport Networks with Non-local Attentions for Recommender Systems-Reference-Cited by-同舟云学术

Graph Neural Transport Networks with Non-local Attentions for Recommender Systems

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Chen Huiyuan¹,Yeh Chin-Chia Michael¹,Wang Fei¹,Yang Hao¹

Affiliation:

1. Visa Research, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512162

Reference52 articles.

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2. Guillermo D Canas and Lorenzo A Rosasco. 2012. Learning probability measures with respect to optimal transport metrics. In NeurIPS. 2492–2500. Guillermo D Canas and Lorenzo A Rosasco. 2012. Learning probability measures with respect to optimal transport metrics. In NeurIPS. 2492–2500.

3. Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu and Bin Wang. 2021. Bipartite graph embedding via mutual information maximization. In WSDM. 635–643. Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu and Bin Wang. 2021. Bipartite graph embedding via mutual information maximization. In WSDM. 635–643.

4. Huiyuan Chen and Jing Li. 2020. Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems.. In IJCAI. Huiyuan Chen and Jing Li. 2020. Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems.. In IJCAI.

5. Huiyuan Chen Lan Wang Yusan Lin Chin-Chia Michael Yeh Fei Wang and Hao Yang. 2021. Structured graph convolutional networks with stochastic masks for recommender systems. In SIGIR. 614–623. Huiyuan Chen Lan Wang Yusan Lin Chin-Chia Michael Yeh Fei Wang and Hao Yang. 2021. Structured graph convolutional networks with stochastic masks for recommender systems. In SIGIR. 614–623.

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