Graph Theory Courses

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

Databricks

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

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

Databricks

Building a Knowledge Graph with Spark and NLP for Novel Drug Recommendations

Explore drug discovery using knowledge graphs, NLP, and Spark. Learn techniques for efficient data processing, entity recognition, and relationship extraction to enhance pharmaceutical research.

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

Unity

Principles of Visual Effects with VFX Graph - Episode 1

Explore VFX Graph fundamentals through hands-on projects like potions and falling leaves. Learn key components, sin waves, randomness, and texture as data to create stunning visual effects in Unity.

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

Prodramp

Graph Neural Networks Implementation in Python

Learn Graph Neural Networks implementation in Python, covering graph representations, node embeddings, message passing, and practical applications using NetworkX and PyG libraries.

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

Prodramp

Understanding Graph Neural Networks - Part 1

Comprehensive introduction to Graph Neural Networks, covering fundamentals, mathematics, and practical implementation using NetworkX and PyG. Ideal for beginners seeking hands-on experience with GNNs.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Pinecone

Graph-Based Approximate Nearest Neighbors and HNSW

Explore graph-based algorithms for efficient nearest neighbor search, focusing on HNSW. Learn advantages, construction, and practical applications in large-scale search solutions.

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

Ross Dynamics Lab

Hamilton-Jacobi Theory - Finding the Best Canonical Transformation + Examples

Explore Hamilton-Jacobi theory for optimal canonical transformations in Hamiltonian systems. Learn to solve the Hamilton-Jacobi equation and apply it to oscillators and central force problems.

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

Ross Dynamics Lab

Center Manifold Theory - Computing Center Manifolds

Explore center manifold theory for dynamical systems, focusing on computing and approximating center manifolds. Learn to analyze stability and dynamics near equilibrium points using Taylor series expansions and tangency conditions.

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

Ross Dynamics Lab

Stability of Periodic Orbits - Floquet Theory - Stable and Unstable Invariant Manifolds

Explore stability of periodic orbits using Floquet theory. Learn about monodromy matrices, Floquet multipliers, and invariant manifolds in Hamiltonian systems. Understand the foundations of chaos in dynamical systems.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Steve Brunton

Reinforcement Learning - Machine Learning Meets Control Theory

Explore reinforcement learning's intersection with control theory, covering key concepts, algorithms, and applications in this comprehensive overview of machine learning's powerful technique.

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

USENIX

Practicably Boosting the Processing Performance of BFS-like Algorithms on Semi-External Graph System via I-O-Efficient Graph Ordering

Explores innovative techniques to enhance BFS-like algorithm performance on semi-external graph systems, focusing on I/O efficiency improvements through strategic graph data pre-processing.

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

USENIX

Controlling Memory Footprint of Stateful Streaming Graph Processing

Innovative techniques for reducing memory usage in streaming graph processing systems, enabling analysis of larger dynamic graphs while maintaining performance and accuracy.

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

USENIX

Distributed Deep Graph Learning at Scale

Explores a novel system for scaling Graph Neural Network training to large real-world graphs, introducing pipelined push-pull parallelism for faster and more efficient distributed processing.

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

0xdade

CertGraph - A Tool to Crawl the Graph of SSL Certificate Alternate Names Using Certificate Transparency

Explore SSL certificate security, Certificate Transparency, and CertGraph tool for domain enumeration. Learn to protect your organization and uncover hidden information in SSL certificates.

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