Transforming DataFrames: Intro to Graphs & GNNs with PyTorch Geometric | D. Cvetkovic | DSC Europe23
In her tech tutorial, Darja delved into the transformative potential of leveraging graph structures and Graph Neural Networks (GNNs) for meaningful data analysis. She emphasized that uncovering significant connections within data can greatly impact problem-solving, especially when transforming DataFrames or tabular data into graphs. The tutorial bridged theoretical concepts with practical implementation by using tools like PyTorch Geometric and NetworkX. Darja guided participants through the fundamental principles of graph structures and GNNs, demonstrating how to convert tabular datasets into graphs and subsequently train GNN models for specific tasks. By the end of the tutorial, participants gained valuable insights into the potential of these techniques for enhancing predictive performance in machine learning applications that involve interconnected data points.
This tutorial by Darja Cvetkovic was held on November 20th as part of Tech Tutorials on Stream 1 live at the Data Science Conference Europe 2023.
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