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20202026
most citedA Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering

7 citations · 19 across the 6 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.IR2022★ 7 cited

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

Shaowen Peng, Kazunari Sugiyama, Tsunenori Mine

With the tremendous success of Graph Convolutional Networks (GCNs), they have been widely applied to recommender systems and have shown promising performance. However, most GCN-bas…

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…