MOFology: Ontologically-Grounded MOF Knowledge Graph and Prediction Framework

Matthew Hart, Philippe Schwaller

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Metal-Organic Frameworks, MOFs, Knowledge Graphs, Ontologies, Carbon Capture, Graph Embedding

TL;DR: We present a large ontologically grounded MOF knowledge graph and prediction framework based on joint semantic-chemical features, and present its usefulness in direct air capture research.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 393