Hierarchical Graph Signal Processing for Collaborative Filtering
Author:
Affiliation:
1. Fudan University & School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, Shanghai, China
2. Microsoft Research Asia, Shanghai, China
3. Independent Researcher, Seattle, USA
Funder
National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645368
Reference41 articles.
1. Efficient top-n recommendation for very large scale binary rated datasets
2. Rianne van den Berg, Thomas N Kipf, and Max Welling. 2018. Graph convolutional matrix completion. In KDD Workshop on Deep Learning Day.
3. Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
4. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
5. Blurring-Sharpening Process Models for Collaborative Filtering
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