2 papers
cs.IR2025
Balancing Embedding Spectrum for Recommendation
Shaowen Peng, Kazunari Sugiyama, Xin Liu +1
Modern recommender systems heavily rely on high-quality representations learned from high-dimensional sparse data. While significant efforts have been invested in designing powerfu…
cs.IR2024
How Powerful is Graph Filtering for Recommendation
Shaowen Peng, Xin Liu, Kazunari Sugiyama +1
It has been shown that the effectiveness of graph convolutional network (GCN) for recommendation is attributed to the spectral graph filtering. Most GCN-based methods consist of a…