Graph Theory Courses

Keith Galli

Intro to Data Visualization in Python with Matplotlib - Line Graph, Bar Chart, Title, Labels, Size

Learn to create and customize line graphs and bar charts using Matplotlib in Python, covering essential visualization techniques like styling, scaling, and annotating plots.

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

Genomics Boot Camp

Genomic Selection - Introduction to Genomics Theory

Explore genomic selection theory, from traditional breeding values to modern techniques, enhancing genetic gain in populations. Learn methodologies for standard and single-step genomic selection.

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

Genomics Boot Camp

Genomic Inbreeding - Introduction to Genomics Theory

Explore genomic inbreeding, runs of homozygosity, and their applications in detecting selection signatures and recessive disorders. Learn key concepts like identity-by-descent and inbreeding coefficients.

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

Genomics Boot Camp

Selection Signatures - Introduction to Genomics Theory - Genomics 101

Learn about selection signatures in genomics, including genetic hitchhiking, types, detection methods, and analysis across populations. Ideal for beginners interested in SNP data and genomic concepts.

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

Genomics Boot Camp

Genomic Admixture - Introduction to Genomics Theory

Explore genomic admixture in crossbreeding populations, covering definitions, interpretation, and practical considerations like ancestry informative SNPs. Ideal for beginners in genomics and SNP data analysis.

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

Genomics Boot Camp

Genome-Wide Association Studies - Introduction to Genomics Theory

Explore genome-wide association studies (GWAS) in genomics, covering key concepts, applications, statistical challenges, and population structure considerations for pinpointing trait-influencing genomic regions.

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

Genomics Boot Camp

Linkage Disequilibrium - Introduction to Genomics Theory

Explore linkage disequilibrium in genomics, its importance, metrics, and applications. Learn about LD block structure, genetic distance, and how it reveals population history and selection pressures.

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

Genomics Boot Camp

SNP Chips - Introduction to Genomics Theory - Genomics 101

Beginner-friendly introduction to SNP chip technology in genomics, covering basic concepts, data handling, allele coding, and chip types. Ideal for those new to genomics seeking to understand SNP data analysis.

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

Genomics Boot Camp

DNA and Genetic Markers - Introduction to Genomics Theory

Explore DNA basics, genomic revolution, and markers in this beginner-friendly introduction to genomics theory, covering fundamental concepts and their applications in modern science.

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

Aladdin Persson

Graph Convolutional Network Paper Explained

Comprehensive explanation of Graph Convolutional Networks (GCNs), covering theory, derivation, and practical applications in node classification, with insights into their functionality and effectiveness.

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

NDC Conferences

A Skeptics Guide to Graph Databases

Explore the pros and cons of graph databases, learn when to use them effectively, and understand their potential pitfalls in solving real-world problems.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Conference Talk

Dani Krossing

Web Design Guide for Non-Creative People - Step by Step Web Design - Design Theory - Web Design Tips

Learn step-by-step web design principles for non-creative individuals. Discover practical tips, design theory, and techniques to create visually appealing websites, even without artistic skills.

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

Association for Computing Machinery (ACM)

Revisiting Knowledge Graph Completion From a Practical Perspective - Danai Koutra

Explore practical aspects of knowledge graph completion, covering construction, calibration, open-world assumptions, and human-AI collaboration for improved link prediction and triple classification.

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

Association for Computing Machinery (ACM)

Graph Mining Hamilton

Learn graph representation techniques for node classification, link prediction, and graph classification. Explore deep learning on graphs, GNNs, and their applications in drug repurposing and recommender systems.

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

Association for Computing Machinery (ACM)

DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis

DeepMem: A graph-based deep learning approach for fast and robust memory forensic analysis, using novel memory graph models and neural networks to enhance object detection in raw memory dumps.

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