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20222026
most citedCF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems

3 citations · 4 across the 14 of their papers we have counts for

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Showing 2023Show all

3 papers · 1 filter

cs.SI2023

Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation

Jin-Duk Park, Siqing Li, Xin Cao +1

The multi-criteria (MC) recommender system, which leverages MC rating information in a wide range of e-commerce areas, is ubiquitous nowadays. Surprisingly, although graph neural n…

cs.CV2023

Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?

Jinman Park, Francois Barnard, Saad Hossain +2

Unsupervised domain adaptation (UDA) aims to bridge the gap between source and target domains in the absence of target domain labels using two main techniques: input-level alignmen…

cs.SI2023

Centrality-Based Node Feature Augmentation for Robust Network Alignment

Jin-Duk Park, Cong Tran, Won-Yong Shin +1

Network alignment (NA) is the task of discovering node correspondences across multiple networks. Although NA methods have achieved remarkable success in a myriad of scenarios, thei…