Transforming DataFrames - Introduction to Graphs and Graph Neural Networks with PyTorch Geometric
Data Science Conference via YouTube
Free courses from frontend to fullstack and AI
Most AI Pilots Fail to Scale. MIT Sloan Teaches You Why — and How to Fix It
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Learn to harness the power of graph structures and Graph Neural Networks (GNNs) in this technical tutorial from Data Science Conference Europe 2023. Explore how transforming DataFrames and tabular data into graph structures can reveal crucial connections for enhanced data analysis. Master the practical implementation of graph-based solutions using PyTorch Geometric and NetworkX while understanding the core theoretical concepts behind graph structures and GNNs. Follow along with hands-on demonstrations showing how to convert tabular datasets into graphs and train GNN models for specific tasks. Gain practical knowledge about improving predictive performance in machine learning applications dealing with interconnected data points, bridging the gap between theoretical understanding and real-world implementation of graph-based solutions.
Syllabus
Transforming DataFrames: Intro to Graphs & GNNs with PyTorch Geometric | D. Cvetkovic | DSC Europe23
Taught by
Data Science Conference