Cancerkg. org-a web-scale, interactive, verifiable knowledge graph-llm hybrid for assisting with optimal cancer treatment and care

M Gubanov, A Pyayt, A Karolak - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Here, we describe one of the first Web-scale hybrid Knowledge Graph (KG)-Large
Language Model (LLM), populated with the latest peer-reviewed medical knowledge on …

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings

M Gubanov, S Pavia, A Pyayt, W Goble - Proceedings of the 31st ACM …, 2022 - dl.acm.org
Accessing large-scale structured datasets such as WDC [31] or CORD-191 is very
challenging [11, 13, 14, 41, 42]. Even if one topic (eg Vaccine Side-Effects) is of interest, the …

[PDF][PDF] COVIDKG. ORG-a Web-scale COVID-19 Interactive, Trustworthy Knowledge Graph, Constructed and Interrogated for Bias using Deep-Learning

B Kandibedala, A Pyayt, N Piraino… - … on Extending Database …, 2023 - par.nsf.gov
We describe a Web-scale interactive Knowledge Graph (KG), populated with trustworthy
information from the latest published medical findings on COVID-19. Currently existing …

Systems and methods for automatically constructing knowledge graphs

M Gubanov - US Patent App. 18/612,359, 2024 - Google Patents
Described herein are systems and methods providing online, interactive, trustworthy
knowledge graphs for a specific topic (eg, COVID-19) and search engines using such …