Towards Employing KG & Graph Neural Networks for Processing Healthcare Data
May 11 | KGC 2023
•
24m
Graphs are ubiquitous, they form a language for describing entities and their interactions. They are emerging as a powerful data analytic tool for addressing difficult real-world problems and more recently graph representation learning has revolutionized AI and modern data science tasks. In Optum, we were aiming to investigate the marriage of graph DBs (Knowledge graphs) along with the state-of-the-art Graph ML(e.g. GNN) models for addressing challenging healthcare related problems such as fraud detection.
Up Next in May 11 | KGC 2023
-
Jedi Mind Tricks for Women in AI
-
Allianz Database GraphXL
On an average, onboarding a Data professional to any large organization takes around 3 months for him to really understand business and data models within the core applications. Once he understands he shall be productive. Allianz GraphXL solves this challenge and is now been used by Business Anal...
-
Jump Start Your Knowledge Graph with ...
Knowledge Graphs (KG) are rapidly gaining ground as a representation of choice for modeling highly linked data! If done well, using OWL to define the KG's metamodel allows for the meaning of the concepts to be sharable, unambiguous, deeply logical, consistent, and capable of inferring new knowled...