Graph Theory Courses

All Things Open

Dungeons, Dragons, and Graph Databases

Explore graph databases through a D&D-inspired example. Learn to model complex relationships, write efficient queries, and optimize data structures for adventurous problem-solving.

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

Banach Center

The Contravariant Functoriality of Graph Algebras

Explore contravariant functoriality in graph algebras, delving into advanced mathematical concepts and their applications in algebraic structures.

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

Banach Center

The Covariant Functoriality of Graph Algebras

Explore covariant functoriality in graph algebras, delving into mathematical concepts and their applications in algebraic structures.

• YouTube
• 1 hour 22 minutes
• Self-Paced
• Free Video

Banach Center

The K-Distribution of Random Graph C*-Algebras

Explore the K-distribution of random graph C*-algebras, delving into advanced mathematical concepts and their applications in algebraic structures.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Non-Invertible Symmetries, Boundary Conditions, and Topological Field Theory

Explore non-invertible symmetries and boundary conditions in quantum field theories, focusing on 1+1d conformal field theories and their applications in various physics phenomena.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Data Science Festival

Causal Inference in Python: From Theory to Practice

Explore causal inference in Python, moving beyond association to causation. Learn graphical causal models, do-calculus, and apply the causal data science pipeline to retail problems using DoWhy library.

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

Data Science Festival

Graph Machine Learning: Enhancing ML with Network Graphs and Embeddings

Explore graph-based machine learning techniques to enhance data analysis and uncover hidden relationships in your datasets. Learn to leverage network graphs for improved model performance.

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

Data Science Festival

Embrace Complexity: Building Your Organization's Knowledge Graph

Discover how knowledge graphs can revolutionize organizational data management and supercharge AI programs through real-world insights and architectural strategies.

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

Data Science Festival

Introduction to Graph Databases

Explore graph databases, their comparison to relational databases, and ideal use cases. Learn about property graphs and gain resources for further study in this informative introduction.

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

ANITI Toulouse

Solving Scheduling Problems with Constraint Programming and Graph Neural Networks

Explore innovative approaches combining constraint programming and graph neural networks to tackle complex scheduling challenges.

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

Inside Livermore Lab

Ontologies, Graph Deep Learning, and AI in Materials Science

Explore ontologies, graph deep learning, and AI in materials science, focusing on advanced manufacturing and synchrotron science. Learn about innovative approaches for multimodal analysis and decision-making.

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

Inside Livermore Lab

Operational Cybersecurity of Distributed Energy Resources Using Optimization, Control Theory, and ML

Explore cybersecurity challenges in distributed energy systems and learn techniques for detecting and mitigating cyber attacks using optimization, control theory, and machine learning.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Inside Livermore Lab

Homogenized Energy Theory for Solution of Elasticity Problems - MFEM Workshop 2023

Explore homogenized energy theory for solving elasticity problems, addressing limitations in classical continuum mechanics and offering insights into size effects and stress singularities.

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

Cambridge Materials

Pre-training Molecular Graph Representation with 3D Geometry

Explore molecular graph representation learning, leveraging 3D geometry for enhanced drug and material discovery through self-supervised learning and the GraphMVP framework.

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

Georgia Tech Research

Mathematics for Deep Neural Networks: Theory for Shallow Networks - Lecture 2 of 5

Explore universal approximation theorem, proof strategies, and approximation rates for shallow networks. Learn estimation methods and data fitting techniques.

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