Graph Theory Courses

Kunal Kushwaha

Bubble Sort Algorithm - Theory + Code

Comprehensive exploration of bubble sort algorithm, covering theory, implementation, complexity analysis, and optimization techniques. Ideal for understanding fundamental sorting concepts.

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

Kunal Kushwaha

Binary Search Algorithm - Theory + Code

Comprehensive exploration of binary search algorithm, covering theory, implementation, and comparison with linear search. Includes order-agnostic binary search and practical coding examples.

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

Kunal Kushwaha

Linear Search Algorithm - Theory, Code, Questions

Comprehensive exploration of Linear Search algorithm, covering theory, implementation, and practical applications through diverse coding exercises and optimizations.

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

Nucly • Photoshop and Creative Design Training

Color Wheel Magic - Transforming Images with Photoshop and Color Theory

Learn to transform images using color theory and Photoshop. Master color wheel concepts, harmonies, and adjustment tools to enhance visual appeal and create stunning designs.

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

Simple Snippets

Graph Data Structure - Delete Edge Operation Using Adjacency List - Part 6

Learn to implement the delete edge operation in graph data structures using C++, focusing on adjacency list representation and practical coding techniques.

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

Simple Snippets

Graph Data Structure - Update Edge Operation Using Adjacency List - Part 5

Learn to update edge weights in a graph using C++ with adjacency list implementation. Covers pseudocode, working principles, and practical coding for efficient graph manipulation.

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

Simple Snippets

Graph DS - Print Graph Operation Using Adjacency List Implementation - Part 4

Learn to implement the print graph operation for adjacency list representation in C++, covering traversal techniques and efficient data structure usage.

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

Simple Snippets

Graph Data Structures - Add Edge Operation Using Adjacency List Implementation - Part 3

Learn to implement the Add Edge operation in Graph Data Structures using C++. This tutorial covers pseudocode explanation and practical coding for efficient graph manipulation using adjacency lists.

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

Simple Snippets

Graph Data Structure - Add Vertex Operation Using Adjacency List - Part 2

Learn to implement the Add Vertex operation in Graph Data Structure using C++ and adjacency list representation. Gain practical coding skills for efficient graph manipulation.

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

Simple Snippets

Graph Traversal Techniques - Breadth First Search vs Depth First Search

Explore graph traversal techniques: BFS for level-wise exploration and DFS for deep path exploration. Learn implementation steps, applications, and differences between these fundamental algorithms.

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

Simple Snippets

Adjacency List in Graph Data Structure - Implementation and Concepts

Learn to implement adjacency lists for graph representation, covering array and linked list approaches. Gain practical insights into efficient graph data structure implementation.

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

Simple Snippets

Adjacency Matrix in Graph Data Structure - Graph Implementation

Learn to represent graphs using adjacency matrices, including their definition, implementation, and time/space complexity analysis. Gain practical insights for efficient graph data structure usage.

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

Simple Snippets

Shell Sort Algorithm - Theory, Working, and Pseudocode with Example - Part 1

Comprehensive tutorial on Shell Sort algorithm, covering theory, working principles, pseudocode, and examples. Explains efficiency, time complexity, and step-by-step implementation.

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

International Centre for Theoretical Sciences

Stretch Factors of Graph Maps and Free Group Automorphisms by Radhika Gupta

Explore stretch factors in graph maps and free group automorphisms, delving into mathematical concepts and their applications in topology and group theory.

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

Applied Algebraic Topology Network

Michael Bronstein: Physics-Inspired Graph Neural Networks

Explore physics-inspired continuous learning models for graph neural networks, leveraging tools from differential geometry and algebraic topology to enhance expressive power beyond traditional message-passing paradigms.

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