A Recurrent Transformer Network for Novel View Action Synthesis. - Kara Marie Schatz; Erik Quintanilla; Shruti Vyas; Yogesh S. Rawat (ECCV (27), 2020)

Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. - Kara Schatz; Cleber C. Melo-Filho; Alexander Tropsha; Rada Chirkova (IEEE BigData, 2021)

Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG. - Kara Schatz; Daniel Korn; Alexander Tropsha; Rada Chirkova (IEEE Big Data, 2022)

BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs. - Kara Schatz; Pei-Yu Hou; Alexey V. Gulyuk; Yaroslava G. Yingling; Rada Chirkova (IEEE Big Data, 2023)

GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction. - Kara Schatz; Alexander Tropsha; Rada Chirkova (IEEE Big Data, 2023)

Provenance-Aware Data Integration and Summarization Querying for Knowledge Graphs. - Pei-Yu Hou; Jing Ao; Kara Schatz; Alexey V. Gulyuk; Yaroslava G. Yingling; Rada Chirkova (iiWAS, 2023)

FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns. - Daniel Korn; Jon-Michael Beasley; Kara Schatz; Pei-Yu Hou; Alexander Tropsha; Rada Chirkova (IEEE Big Data, 2024)

Semantics-Aware Path Ranking On Information Extracted from Knowledge Graphs. - Zhuocheng Mei; Kara Schatz; Nahed Abu Zaid; Rada Chirkova (IEEE Big Data, 2024)

INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared Languages. - Nahed Abu Zaid; Kara Schatz; Kimberly Bourne; Darrell Harry; Christine Hendren; Anna-Maria Marshall; Khara Grieger; Jacob Jones; Alexey V. Gulyuk; Yaroslava G. Yingling; Rada Chirkova (IEEE Big Data, 2024)

Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs. - Daniel Korn; Pei-Yu Hou; Kara Schatz; Jon-Michael Beasley; Alexander Tropsha; Rada Chirkova (ACM Trans. Comput. Heal., 2025)