Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network-Reference-Cited by-同舟云学术

Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network

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

Tao Ye¹,Li Ying²,Zhang Su³,Hou Zhirong⁴,Wu Zhonghai⁵

Affiliation:

1. School of Software and Microelectronics, Peking University, China

2. Key Lab of High Confidence Software Technologies (MOE) & National Engineering Center of Software Engineering, Peking University, China

3. Center for Data Science, Peking University, China

4. ICBC Technology Co.,Ltd, China

5. ey Lab of High Confidence Software Technologies (MOE) & National Engineering Center of Software Engineering, Peking University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512003

Reference47 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. Geometric Deep Learning: Going beyond Euclidean data

3. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

4. Social Influence: Compliance and Conformity

5. Michaël Defferrard , Xavier Bresson , and Pierre Vandergheynst . 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems 29 ( 2016 ), 3844–3852. Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems 29 (2016), 3844–3852.

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