Knowledge Graph Self-Supervised Rationalization for Recommendation

Author:

Yang Yuhao1ORCID,Huang Chao1ORCID,Xia Lianghao1ORCID,Huang Chunzhen2ORCID

Affiliation:

1. The University of Hong Kong, Hong Kong, Hong Kong

2. Tencent, Guangzhou, China

Publisher

ACM

Reference52 articles.

1. Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 ( 2017 ). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017).

2. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

3. Attentive Collaborative Filtering

4. Christoph Feichtenhofer , Haoqi Fan , Yanghao Li , and Kaiming He. 2022. Masked Autoencoders As Spatiotemporal Learners. arXiv preprint arXiv:2205.09113 ( 2022 ). Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, and Kaiming He. 2022. Masked Autoencoders As Spatiotemporal Learners. arXiv preprint arXiv:2205.09113 (2022).

5. Michael Gutmann and Aapo Hyvärinen . 2010 . Noise-contrastive estimation: A new estimation principle for unnormalized statistical models . In International Conference on Artificial Intelligence and Statistics (AISTATS). 297--304 . Michael Gutmann and Aapo Hyvärinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In International Conference on Artificial Intelligence and Statistics (AISTATS). 297--304.

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