GrowHON: A Scalable Algorithm for Growing Higher-order Networks of Sequences. - Steven J. Krieg; Peter M. Kogge; Nitesh V. Chawla (COMPLEX NETWORKS (2), 2020)

Higher-order Networks of Diabetes Comorbidities: Disease Trajectories that Matter. - Steven J. Krieg; Daniel H. Robertson; Meeta P. Pradhan; Nitesh V. Chawla (ICHI, 2020)

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning. - Mandana Saebi; Steven J. Krieg; Chuxu Zhang; Meng Jiang 001; Nitesh V. Chawla (CoRR, 2020)

Pandemic Pulse: Unraveling and Modeling Social Signals During the COVID-19 Pandemic. - Steven J. Krieg; Jennifer J. Schnur; Jermaine D. Marshall; Matthew M. Schoenbauer; Nitesh V. Chawla (Digit. Gov. Res. Pract., 2021)

Predicting Terrorist Attacks in the United States using Localized News Data. - Steven J. Krieg; Christian W. Smith; Rusha Chatterjee; Nitesh V. Chawla (CoRR, 2022)

Data-driven testing program improves detection of COVID-19 cases and reduces community transmission. - Steven J. Krieg; Carolina Avendano; Evan Grantham-Brown; Aaron Lilienfeld Asbun; Jennifer J. Schnur; Marie Lynn Miranda; Nitesh V. Chawla (npj Digit. Medicine, 2022)

Deep Ensembles for Graphs with Higher-order Dependencies. - Steven J. Krieg; William C. Burgis; Patrick M. Soga; Nitesh V. Chawla (ICLR, 2023)

Representing Outcome-Driven Higher-Order Dependencies in Graphs of Disease Trajectories. - Steven J. Krieg; Nitesh V. Chawla; Keith Feldman (ICHI, 2024)