2 papers
cs.LG2026
HiSTOR: Structured Treatment-outcome Representation Learning for High-Dimensional Longitudinal Data
Chuanqi Lao, Junzhou Huang, Qiao Liu
Estimating potential outcomes under alternative treatment sequences is essential for personalized decision-making, but remains challenging with high-dimensional covariates and time…
cs.LG2024
Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing for Scalable Longitudinal Data Imputation
Zhaoyang Zhang, Ziqi Chen, Qiao Liu +2
In this paper, we propose a novel framework, the Sampling-guided Heterogeneous Graph Neural Network (SHT-GNN), to effectively tackle the challenge of missing data imputation in lon…