3 papers
cs.AI2026
Measuring Graph-to-Graph Semantic Similarity in Knowledge Graphs: An Empirical Evaluation of Knowledge Graph Embeddings
Seungryeol Baek, Wooseok Sim, Hogun Park
A Knowledge Graph (KG) represents facts as structured triples and is widely used to organize relational knowledge across diverse domains. Just as textual information ranges from wo…
cs.IR2026
Low-pass Personalized Subgraph Federated Recommendation
Wooseok Sim, Hogun Park
Federated Recommender Systems (FRS) preserve privacy by training decentralized models on client-specific user-item subgraphs without sharing raw data. However, FRS faces a unique c…
cs.LG2025
Federated Recommender System with Data Valuation for E-commerce Platform
Jongwon Park, Minku Kang, Wooseok Sim +2
Federated Learning (FL) is gaining prominence in machine learning as privacy concerns grow. This paradigm allows each client (e.g., an individual online store) to train a recommend…