most citedA Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering

7 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2022★ 5 cited

Less is More: Reweighting Important Spectral Graph Features for Recommendation

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine

As much as Graph Convolutional Networks (GCNs) have shown tremendous success in recommender systems and collaborative filtering (CF), the mechanism of how they, especially the core…

cs.IR2020★ 7 cited

A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering

Shaowen Peng, Tsunenori Mine

Graph Convolutional Network (GCN) has achieved great success and has been applied in various fields including recommender systems. However, GCN still suffers from many issues such…