3 papers
cs.AI2026
A Machine-Learned Comorbidity Index
Suleman Baloch, Kishlay Jha, Alberto M. Segre +2
Traditional comorbidity scores (e.g., Charlson and Elixhauser) are widely used for risk adjustment and patient stratification, but they have two key limitations: (i) they are large…
cs.LG2025
Implicit Hypergraph Neural Network
Akash Choudhuri, Yongjian Zhong, Bijaya Adhikari
Hypergraphs offer a generalized framework for capturing high-order relationships between entities and have been widely applied in various domains, including healthcare, social netw…
cs.LG2024
Efficient and Effective Implicit Dynamic Graph Neural Network
Yongjian Zhong, Hieu Vu, Tianbao Yang +1
Implicit graph neural networks have gained popularity in recent years as they capture long-range dependencies while improving predictive performance in static graphs. Despite the t…