Kara Schatz

College of Engineering

Works (3)

Updated: March 6th, 2026 13:58

2025 article

GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining

Schatz, K., Beasley, J.-M., Tropsha, A., & Chirkova, R. (2025, December 19). International Journal of Data Science and Analytics, Vol. 12.

By: K. Schatz n, J. Beasley *, A. Tropsha * & R. Chirkova n 

topics (OpenAlex): Advanced Graph Neural Networks; Machine Learning in Healthcare; Graph Theory and Algorithms
Sources: NC State University Libraries, NC State University Libraries
Added: January 22, 2026

2025 article

Retrieving unusual temporal trends effectively and efficiently with trend surfing

Ao, J., Schatz, K., & Chirkova, R. (2025, December 5). International Journal of Data Science and Analytics.

By: J. Ao n, K. Schatz n & R. Chirkova n 

topics (OpenAlex): Time Series Analysis and Forecasting; Data Stream Mining Techniques; Data Visualization and Analytics
Sources: NC State University Libraries, NC State University Libraries
Added: March 4, 2026

2021 article

Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns

Schatz, K., Melo-Filho, C., Tropsha, A., & Chirkova, R. (2021, December 15). 2021 IEEE International Conference on Big Data (Big Data).

By: K. Schatz n, C. Melo-Filho *, A. Tropsha * & R. Chirkova n 

author keywords: Drug discovery; knowledge discovery; explainable fact checking; link prediction; knowledge graph mining
topics (OpenAlex): Biomedical Text Mining and Ontologies; Computational Drug Discovery Methods; Bioinformatics and Genomic Networks
TL;DR: A scalable automated approach for generating explanations that are modeled after existing biomedical concepts and supplemented with data-supported evaluation metrics is introduced, based on knowledge-graph patterns, which are readily understood by biomedical experts. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: July 5, 2022

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