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Topologic, Graphs, and Graph Machine Learning

This talk explores a AI-powered software library called Topologicpy (built on top of Topologic, a powerful spatial analysis software), which employs an innovative approach to 3D conceptual modeling by integrating geometry, topology, and semantics. By amalgamating these three attributes into a formal graph representation, we can leverage graph machine learning to classify generated concepts and predict their performance. As an example, the talk will discuss how Topologic and graph machine learning were used to classify the relationship between a building and its surrounding terrain. The talk will showcase some of the software's concepts and key features and discuss its potential in the design process.