1 citations · 2 across the 3 of their papers we have counts for
3 papers
q-fin.ST2024★ 1 cited
Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
Yejin Kim, Youngbin Lee, Minyoung Choe +2
This paper explores the utilization of Temporal Graph Networks (TGN) for financial anomaly detection, a pressing need in the era of fintech and digitized financial transactions. We…
cs.IR2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
Yejin Kim, Scott Rome, Kevin Foley +7
Addressing the challenges related to data sparsity, cold-start problems, and diversity in recommendation systems is both crucial and demanding. Many current solutions leverage know…
cs.CL2024★ 1 cited
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
Sehee Lim, Yejin Kim, Chi-Hyun Choi +2
Improving the accessibility of psychotherapy with the aid of Large Language Models (LLMs) is garnering a significant attention in recent years. Recognizing cognitive distortions fr…