Learning on Graphs with Explainable Graph Neural Networks

Explore Oracle's advancements in graph machine learning through this 25-minute conference talk from CloudWorld 2022. Gain insights into graph neural networks and their explainability, particularly in the context of complex and heterogeneous graph data. Discover how Oracle's Graph Studio in ADB Graph and PyPGX in Oracle Cloud Infrastructure Data Science can be leveraged by developers. Learn about practical applications of these technologies across various industries, including cybersecurity, healthcare, and retail. Follow along as Damien Hilloulin from Oracle guides you through the intricacies of learning on graphs with explainable graph neural networks, covering topics such as graph basics, machine learning approaches, architecture, and real-world applications.

Introduction
Content
Graphs
PGX
What are graphs
Graph Machining
Graphis Approach
Architecture
Explainability
Applications
Investigation
Healthcare
Default model
Next steps
Summary
Outro