Graph Theory Courses

International Centre for Theoretical Sciences

Heavy Quark Effective Theory and Soft-Collinear Effective Theory - Lecture 2

Explores advanced concepts in Heavy Quark Effective Theory and Soft-Collinear Effective Theory, providing in-depth analysis for particle physics researchers and advanced students.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Heavy Quark Effective Theory and Soft-Collinear Effective Theory - Lecture 1

Introduction to Heavy Quark Effective Theory and Soft-Collinear Effective Theory, exploring their applications in particle physics and providing essential tools for systematic analysis of heavy quark systems and high-energy processes.

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

PyCon US

Building an Interactive Network Graph to Understand Communities

Explore graph theory and Python libraries to build an interactive dashboard for analyzing community formation in organizations, going beyond traditional org charts.

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

Applied Algebraic Topology Network

Bridging Persistent Homology and Discrete Morse Theory with Applications to Shape Reconstruction

Explore the connection between persistent homology and discrete Morse theory, unifying key concepts and applying insights to shape reconstruction in computational topology.

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

Fields Institute

Market Graph Clustering via QUBO and Digital Annealing

Explore innovative market graph clustering techniques using QUBO and Digital Annealing, uncovering insights into complex financial networks and data structures.

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

Hausdorff Center for Mathematics

Formalising the Theory of Combinatorial Optimisation

Explore formalisation of combinatorial optimisation theory in Isabelle/HOL, focusing on matching theory and its mathematical implications for computer science and applied mathematics.

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

IMSA

Szemerédi Regularity Lemma in Graph Machine Learning

Exploring the Szemerédi regularity lemma's application in graph machine learning, focusing on its theoretical foundations and practical implications for AI-driven graph analysis.

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

Kavli Institute for Theoretical Physics

Universal Theory for Quantum Phase Transitions in Two-Dimensional Metals with Harris Disorder

Explore quantum phase transitions in 2D metals with Harris disorder. Subir Sachdev presents a universal theory, discussing implications for strongly correlated gapless quantum systems and recent advancements in the field.

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

NDC Conferences

An Introduction to Residuality Theory

Explore residuality theory, a revolutionary approach to software design for complex business environments, using applied complexity science to manage uncertainty in the design process.

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

Math with Mr. J

How to Solve and Graph One-Step Inequalities

Learn to solve and graph one-step inequalities with addition, subtraction, multiplication, and division. Step-by-step examples and explanations for each type, including when to flip inequality symbols.

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

IMSA

Knot Theory in Mathematics and AI Applications

Explore the fascinating world of knot theory and its connections to mathematics and AI in this engaging talk by Ernesto Lupercio from CINVESTAV.

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

IMSA

Discrete Curvature and Applications in Graph Machine Learning

Exploring discrete curvature in graph machine learning, focusing on applications and theoretical foundations for analyzing complex network structures and improving graph-based algorithms.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Composing AI Applications as a Graph with Haystack

Explore building AI applications as directed graphs using Haystack, an open-source framework. Learn to design flexible AI workflows with various model providers and technologies.

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

A Beginner's Guide to String Theory

Explore string theory's revolutionary concept uniting fundamental forces and reshaping our understanding of the universe, presented by physicist Alex Buchel in an accessible introduction.

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

Fields Institute

Equivariant Learning Through Invariant Theory

Explore equivariant learning and its connection to invariant theory with Jeroen Lamb from Imperial College London in this symposium talk on machine learning and dynamical systems.

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