Pre-training Graph Transformer with Multimodal Side Information for Recommendation-Reference-Cited by-同舟云学术

Pre-training Graph Transformer with Multimodal Side Information for Recommendation

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
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Author:

Liu Yong¹,Yang Susen²,Lei Chenyi³,Wang Guoxin⁴,Tang Haihong²,Zhang Juyong⁵,Sun Aixin¹,Miao Chunyan¹

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. Alibaba Group, Hangzhou, China

3. Alibaba Group & University of Science and Technology of China, Hangzhou, China

4. Alibaba Group & Zhejiang University, Hangzhou, China

5. University of Science and Technology of China, Hefei, China

Funder

National Research Foundation, Prime Minister's Office, Singapore

Alibaba-NTU Singapore Joint Research Institute

Alibaba Group

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475709

Reference41 articles.

1. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems. 2787--2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in Neural Information Processing Systems. 2787--2795.

2. A comprehensive survey of graph embedding: problems, techniques, and applications;Cai Hongyun;IEEE Transactions on Knowledge and Data Engineering,2018

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