Graph Theory Courses

Marketing Analysis - Where Theory Meets Practice

Semrush's new Marketing Analysis course provides the foundational knowledge necessary to analyze any market and build a surefire marketing strategy.

• Semrush Academy
• 2 hours 11 minutes
• Self-Paced
• Free Certificate

Graph Algorithms Crash Course (with Java)

Comprehensive Java tutorial on graph algorithms, covering implementation, traversals (DFS, BFS), and Dijkstra's algorithm with practical coding examples and visual explanations.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Oracle

Graph-Charged Cybersecurity Intelligence

Explore Oracle's graph-powered cybersecurity intelligence system for real-time threat detection, featuring interactive visual interpretation for investigators to analyze machine learning model explanations.

• YouTube
• 23 minutes
• Self-Paced
• Conference Talk

Oracle

Learning on Graphs with Explainable Graph Neural Networks

Explore Oracle's graph machine learning advances, including graph neural networks and explainability, with applications in cybersecurity, healthcare, and retail using Graph Studio and PyPGX.

• YouTube
• 25 minutes
• Self-Paced
• Conference Talk

IEEE Signal Processing Society

Graph Signal Processing for Neuroimaging - When Anatomy Meets Activity

Explore brain imaging through graph signal processing, connecting anatomy and activity. Learn MRI techniques, brain graphs, and innovative analysis methods for neuroimaging data.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Robustness of Graph Neural Networks

Explore techniques to enhance robustness of Graph Neural Networks, including adaptive attacks, certificates, and collective reasoning. Learn strategies to improve model resilience in graph-based machine learning.

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

IEEE Signal Processing Society

Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning

Explore advanced graph learning techniques using subgraph-based networks for expressive, efficient, and domain-independent applications in data science and signal processing.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

IEEE Signal Processing Society

Single View and Multiview Signed Graph Learning - Applications to Gene Regulatory Network Inference

Explore graph learning techniques for gene regulatory network inference, focusing on single-view and multi-view approaches, their applications, and computational challenges in bioinformatics.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Graph Constructions for Machine Learning Applications - New Insights and Algorithms

Explore graph constructions for machine learning, covering signal variation, sampling, and semisupervised learning. Gain insights into theoretical analysis and applications in deep learning geometry.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Graph Neural Networks Are Dynamic Programmers

Explore how Graph Neural Networks function as dynamic programmers, bridging classical algorithms with neural approaches for optimal path finding and algorithmic reasoning.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

IEEE Signal Processing Society

Modeling Physical Structure and Dynamics Using Graph-Based Machine Learning

Explore graph-based machine learning for modeling physical structures and dynamics, covering algorithms, architectures, simulations, and applications in various domains.

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

Docker

Container Security - Theory & Practice at Netflix

Explore Netflix's container security journey, covering theory, architecture, and practical lessons learned as container usage rapidly expanded across the organization.

• YouTube
• 35 minutes
• Self-Paced
• Conference Talk

Docker

Container Orchestration from Theory to Practice

Explore container orchestration concepts and practical implementation with Docker experts, covering consistency, communication, and real-world demonstrations.

• YouTube
• 44 minutes
• Self-Paced
• Conference Talk

Mecharithm - Robotics and Mechatronics

Forward Kinematics in Robotics Using Screw Theory - Matlab Code & Great Demos

Learn forward kinematics using screw theory and product of exponentials formula. Explore applications on planar, UR5e, and SCARA robots with MATLAB demonstrations and practical examples.

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

GreeneMath.com

How to Graph Sine and Cosine with Transformations

Learn to graph sine and cosine functions with various transformations, including vertical/horizontal stretches, compressions, shifts, and phase shifts. Master key concepts for trigonometric graphing.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video