Background Early unplanned hospital readmissions are associated with increased harm to
patients, increased medical costs, and negative hospital reputation. With the identification of …

Introduction Pre‐exposure prophylaxis (PrEP) is an effective HIV prevention tool that relies
on good adherence in high‐risk scenarios. To understand the factors that predict adherence, …

This survey dives into Tabular Data Learning (TDL) using Graph Neural Networks (GNNs),
a domain where deep learning-based approaches have increasingly shown superior …

Deep learning-based approaches to Tabular Data Learning (TDL) have shown promising
performance compared to their conventional counterparts. However, these methods often fail …

Graph structure learning (GSL) has shown promise in various domains, but its potential impact
on tabular data prediction remains underexplored. Traditional deep learning models for …

… Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li,
Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long …

Background Daily and on-demand pre-exposure prophylaxis (PrEP) has been well
demonstrated to effectively prevent HIV acquisition for men who have sex with men (MSM). More …

While Large Audio-Language Models (LALMs) have been shown to exhibit degraded
instruction-following capabilities, their ability to infer task patterns from in-context examples under …

This study aimed to examine whether adolescents select friends based on their friends’ levels
of depressive symptoms, and to determine whether the potential homophily phenomenon …

This work presents a novel approach to tabular data prediction leveraging graph structure
learning and graph neural networks. Despite the prevalence of tabular data in real-world …