Graph Theory Courses

Institute for Advanced Study

Lie Algebras and Homotopy Theory - Jacob Lurie

Explore connections between Lie algebras and homotopy theory, covering fundamental groups, Whitehead brackets, and Quillen's theorem in this advanced mathematics seminar.

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

Institute for Advanced Study

Extremal Set Theory - Andrey Kupavskii

Explore extremal set theory with Andrey Kupavskii, covering shifting techniques, partial orders, and the Katniss Theorem. Gain insights into minimizing shadows and analyzing complex cases in discrete mathematics.

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

Institute for Advanced Study

Representational Power of Graph Neural Networks - Stefanie Jegelka

Explore the representational power of Graph Neural Networks, focusing on message passing, aggregation operations, and their impact on network structure and reasoning tasks.

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

Institute for Advanced Study

A Recent Perspective on Invariant Theory - Viswambhara Makam

Explore recent advancements in invariant theory, covering graph isomorphism, matrix invariants, and tensor factors. Gain insights into succinct encoding, upper bounds, and degree bounds in this mathematical field.

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

Institute for Advanced Study

Existence Theory of Minimal Hypersurfaces - Fernando Marquez

Explore the existence theory of minimal hypersurfaces, covering minimax theorems, space of cycles, and volume spectrum. Gain insights into Ricci curvature and generic metrics.

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

Aleksa Gordić - The AI Epiphany

How to Get Started With Graph ML - Blog Walkthrough

Comprehensive introduction to Graph Machine Learning, covering applications, methods, and resources. Explores research challenges, GNN expressivity, and related subfields, providing a solid foundation for beginners.

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

Aleksa Gordić - The AI Epiphany

Graph Attention Network Project Walkthrough

Comprehensive walkthrough of Graph Attention Network implementation, covering dataset analysis, key implementation details, and related deep learning projects for enthusiasts and practitioners.

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

Aleksa Gordić - The AI Epiphany

Temporal Graph Networks - GNN Paper Explained

Explore temporal graph networks and dynamic graphs, learning advanced techniques for graph machine learning, including time-based sampling, memory management, and attention mechanisms.

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

Aleksa Gordić - The AI Epiphany

Graph SAGE - Inductive Representation Learning on Large Graphs - GNN Paper Explained

Deep dive into Graph SAGE, exploring its innovative approach to large-scale graph learning. Covers key concepts, training methods, aggregator functions, and comparisons with other graph neural networks.

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

Aleksa Gordić - The AI Epiphany

Graph Convolutional Networks - GNN Paper Explained

Comprehensive exploration of Graph Convolutional Networks, covering theory, implementation, and applications. Delves into spectral methods, Weisfeiler-Lehman perspective, and GNN depth, offering insights for both beginners and experts.

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

Aleksa Gordić - The AI Epiphany

Graph Attention Networks - GNN Paper Explained

Explore Graph Attention Networks (GAT) in-depth, covering graph theory basics, GAT methodology, multi-head versions, visualizations, and applications in transductive/inductive learning scenarios.

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

Edan Meyer

A New Theory for How the Brain Learns

Explore a novel theory on brain learning, focusing on neuronal burst firing for feedback signaling and solving the credit assignment problem in hierarchical circuits.

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

TensorFlow

Intro to Graph Neural Networks

Comprehensive introduction to graph neural networks, covering theory, applications, and hands-on practice with a Colab exercise. Ideal for those interested in advanced machine learning techniques.

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

FlippedNormals

Color Theory Fundamentals

Explore artistic color fundamentals, including composition, diagrams, color wheels, and emotional impact. Learn from master artists and gain practical skills in color mixing and application.

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

FlippedNormals

Polypaint a Head in ZBrush - Color Theory

Master ZBrush Polypainting for realistic head texturing. Learn essential color theory for organic surfaces, focusing on facial features. Gain practical tips and techniques for creating lifelike digital characters.

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