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Alexander Tropsha
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Publications
- 2023
- [c11]Kara Schatz, Alexander Tropsha, Rada Chirkova:
GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction. IEEE Big Data 2023: 4248-4257 - 2022
- [c9]Kara Schatz, Daniel Korn, Alexander Tropsha, Rada Chirkova:
Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG. IEEE Big Data 2022: 3692-3701 - [c8]Pei-Yu Hou, Daniel Robert Korn, Cleber C. Melo-Filho, David R. Wright, Alexander Tropsha, Rada Chirkova:
Compact Walks: Taming Knowledge-Graph Embeddings with Domain- and Task-Specific Pathways. SIGMOD Conference 2022: 458-469 - 2021
- [j78]Daniel Robert Korn, Tesia M. Bobrowski, Michael Li, Yaphet Kebede, Patrick Wang, Phillips Owen, Gaurav Vaidya, Eugene N. Muratov, Rada Chirkova, Chris Bizon, Alexander Tropsha:
COVID-KOP: integrating emerging COVID-19 data with the ROBOKOP database. Bioinform. 37(4): 586-587 (2021) - [j77]Changsung Moon, Chunming Jin, Xialan Dong, Saad Mohammad Abrar, Weifan Zheng, Rada Y. Chirkova, Alexander Tropsha:
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses. J. Biomed. Informatics 119: 103838 (2021) - [j73]Daniel Robert Korn, Vera Pervitsky, Tesia M. Bobrowski, Vinicius M. Alves, Charles Schmitt, Chris Bizon, Nancy Baker, Rada Chirkova, Artem Cherkasov, Eugene N. Muratov, Alexander Tropsha:
COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug-Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19. J. Chem. Inf. Model. 61(12): 5734-5741 (2021) - [c7]Kara Schatz, Cleber C. Melo-Filho, Alexander Tropsha, Rada Chirkova:
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns. IEEE BigData 2021: 3709-3716 - 2020
- [i2]Rahul Yedida, Saad Mohammad Abrar, Cleber C. Melo-Filho, Eugene N. Muratov, Rada Chirkova, Alexander Tropsha:
Text Mining to Identify and Extract Novel Disease Treatments From Unstructured Datasets. CoRR abs/2011.07959 (2020)
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