Learn how to build and analyze heterogeneous graphs using PyG, a machine graph learning library in Python. This workshop will provide a practical introduction to the concept of heterogeneous graphs and their applications, including their ability to capture the complexity and diversity of real-world systems. Participants will gain experience in creating a heterogeneous graph from multiple data tables, preparing a dataset, and implementing and training a model using PyG.

Ramona Bendias

Affiliation: Kumo.ai

I have a Master's degree in science and am currently working as a Applied Machine Learning Engineer at Kumo,ai, where I use my skills in machine learning and data analysis to solve challenging problems. In addition to my work at Kumo, I am also a contributor to PyG, a machine graph learning library in Python.

Matthias Fey

Affiliation: Kumo.AI

visit the speaker at: Github • Homepage