Tensor methods have played a central role in analyzing multi-dimensional data across a wide range of real-world applications. At the same time, these methods provide low-rank representations, which enable trustworthy and parsimonious machine learning systems. However, even though they hold great promise, tensor methods...
Dawon Ahn, Yong-chan Park, Taehyung Kwon et al.· Proceedings of the 32nd ACM...· 0 citations
This paper proposes Masked Mixture Factorization (MMF), a lightweight yet effective MF variant that adapts to heterogeneous interactions through instance-wise latent gating, substantially improving accuracy under the same parameter budget while retaining MF's scalability.
Yong-chan Park, Jeongyoung Lee, Seungjoo Lee et al.· Proceedings of the 32nd ACM...· 0 citations
TiRano (Tensorized Relation-aware temporal reasoning for knowledge graph completion), an accurate and efficient tensor-based temporal reasoning framework for TKGC, is proposed, which consistently outperforms state-of-the-art TKGC methods in terms of both prediction accuracy and efficiency.
Seungjoo Lee, Yong-chan Park, U. Kang· Proceedings of the 32nd ACM...· 0 citations
This work proposes ARCHIVE (Ambiguity Recognition via Cascaded Hypothesis Inspection and Conflict Verification), an accurate and efficient framework that detects ambiguity via logical conflict, and presents QuireQA, a 4,703-query benchmark spanning factoid, non-factoid, and ill-formed queries.
Ji-won Lee, Yong-chan Park, Jungin Hong et al.· 0 citations
Given a partially observed Temporal Knowledge Graph (TKG), how can we accurately predict missing entities? Unlike static knowledge graphs, TKGs encode facts within temporal contexts, requiring models to reason over both graph structure and time. However, existing TKGC approaches often sample neighbors solely based on t...
Seungjoo Lee, Yong-chan Park, U. Kang· Proceedings of the 32nd ACM...· 0 citations
This workshop aims to provide a forum for advancing tensor methods and applying them to various applications at the intersection of data mining and modern machine learning to foster an interactive environment for researchers to exchange ideas and build connections across communities.
Dawon Ahn, Yong-chan Park, Taehyung Kwon et al.· Proceedings of the 32nd ACM...· 0 citations
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