Graph Theory Courses

Toronto Machine Learning Series (TMLS)

Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS

Accelerate data science workflows using GPUs and RAPIDS. Learn performance gains, easy migration, and new possibilities in ETL, ML, and graph analytics.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Fund2Vec: Mutual Funds Similarity Using Graph Learning

Explore a novel approach to identify similar mutual funds using graph learning and network embedding techniques, providing data-driven insights for portfolio analysis and fund recommendations.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Constructing a Knowledge Graph for the World's Largest Professional Network

Explore how LinkedIn builds and utilizes Knowledge Graphs to enhance user experience and power products through deep NLP, GNN models, and holistic optimization of social network data.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Introduction to Graph Neural Networks and Their Application in Drug Discovery

Learn about Graph Neural Networks and their application in drug discovery, exploring advanced techniques for molecular property prediction and drug-target interaction.

• YouTube
• 3 hours 10 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Introduction to Graph Neural Networks and Their Application in Drug Discovery

Explore Graph Neural Networks in drug discovery, covering concepts, healthcare applications, and Python implementation. Build a GNN model for healthcare use.

• YouTube
• 1 hour 52 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Graph Neural Networks with Almost No Features

Explore feature propagation in Graph Neural Networks, handling missing data efficiently. Learn scalable techniques for node classification and link prediction, even with 99% missing features.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Learning Embedded Representation of Stock Correlation Matrix Using Graph Machine Learning

Explore embedded representation of stock correlation matrices using graph machine learning. Learn to analyze non-linear relationships among financial instruments for investment processes and risk management.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Leveraging Graph Analytics, Visualization and Path Analysis for Customer Experience Improvement

Explore graph analytics, visualization, and path analysis to improve customer experience and operational efficiency in banking.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

USC Information Sciences Institute

AI on the Edge: Hardware-Software Co-Design for Graph Analytics and Neural Networks - Session 3

Explore cutting-edge research on hardware-software co-design for AI, including graph analytics, neural networks, object detection, and federated learning.

• YouTube
• 50 minutes
• Self-Paced
• Free Video

All Things Open

Weaving Microservices into a Unified GraphQL Schema with Graph-Quilt

Explore graph-quilt, an open-source Java library for unifying GraphQL schemas from multiple microservices. Learn how to simplify data orchestration and scale your GraphQL architecture effectively.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Google Cloud Tech

Understanding Graph Databases with Neo4j

Explore graph databases and Neo4j to uncover deeper insights through data relationships, gaining a more flexible and insightful view of your information.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

GERAD Research Center

Games as Graphs - A New Approach to Game Theory

Explore game theory through a graph-based approach, gaining new insights into evolutionary game theory and long-run outcomes of replicator dynamics.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

GERAD Research Center

Koopman Operator Theory Based Machine Learning of Dynamical Systems

Explore Koopman Operator Theory for machine learning of dynamical systems, covering applications in fluid dynamics, power grids, network security, and more.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

GERAD Research Center

Crash Course in Decision Theory: Ideas and Problems in Decision Making Under Uncertainty

Explore key concepts in decision-making under uncertainty, including Expected Utility and Maxmin EU. Discover applications in robust statistics, fuzzy systems, climate change, and finance.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

GERAD Research Center

Addressing the Limitations of Graph Convolutional Networks

Explore challenges and solutions for Graph Convolutional Networks, including over-smoothing and heterophily problems, and discover ongoing research in this field.

• YouTube
• 28 minutes
• Self-Paced
• Free Video