most citedTimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2026

Sequential Data Augmentation for Generative Recommendation

Geon Lee, Bhuvesh Kumar, Clark Mingxuan Ju +4

Generative recommendation plays a crucial role in personalized systems, predicting users' future interactions from their historical behavior sequences. A critical yet underexplored…

cs.LG2026★ 2 cited

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop

Yushan Jiang, Wenchao Yu, Geon Lee +5

Time series analysis provides essential insights for real-world system dynamics and informs downstream decision-making, yet most existing methods often overlook the rich contextual…

cs.LG2025

RDB2G-Bench: A Comprehensive Benchmark for Automatic Graph Modeling of Relational Databases

Dongwon Choi, Sunwoo Kim, Juyeon Kim +5

Recent advances have demonstrated the effectiveness of graph-based learning on relational databases (RDBs) for predictive tasks. Such approaches require transforming RDBs into grap…