1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.IR2025
Hypergraph Diffusion for High-Order Recommender Systems
Darnbi Sakong, Thanh Trung Huynh, Jun Jo
Recommender systems rely on Collaborative Filtering (CF) to predict user preferences by leveraging patterns in historical user-item interactions. While traditional CF methods prima…
cs.IR2025
Handling Heterophily in Recommender Systems with Wavelet Hypergraph Diffusion
Darnbi Sakong, Thanh Tam Nguyen
Recommender systems are pivotal in delivering personalised user experiences across various domains. However, capturing the heterophily patterns and the multi-dimensional nature of…
cs.IR2024★ 1 cited
Heterogeneous Hypergraph Embedding for Recommendation Systems
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh +4
Recent advancements in recommender systems have focused on integrating knowledge graphs (KGs) to leverage their auxiliary information. The core idea of KG-enhanced recommenders is…