Minchan Kim

STGVAD: Spatio-Temporal Graph-Based Vessel Behavior Anomaly Detection

2025 · IEEE Access

Predicting vessel trajectories and detecting anomalous behaviors are fundamental yet challenging tasks in the maritime domain, primarily due to the dynamic and unstructured nature of the marine environment. While Spatio-Temporal Graph Neural Networks (ST-GNNs) have …

InteractiveKG: Transparent and user-controllable knowledge graph reasoning

2026 · Information Visualization

Large Language Models (LLMs) are increasingly used to support complex reasoning tasks, yet their fluent textual explanations often obscure underlying assumptions and intermediate reasoning steps, making it difficult for users to verify correctness or confidently …