Neural Lantern (@neurallantern)

4 Graph Types: Undirected vs Directed, Weighted vs Unweighted https://www.youtube.com/watch?v=8Ml20VhpdrI In this video we break down the four main types of graphs used in computer science: undirected unweighted, undirected weighted, directed unweighted, and directed weighted. We start with the basic idea of graphs - collections of nodes (vertices) and edges - and then explore each type with clear examples. Learn how these graphs represent real-world relationships like computer networks, airport routes, road maps, and game maps. Perfect for anyone learning data structures, algorithms, or preparing for coding interviews. 00:00 Introduction to Graphs 00:19 Basic Graph Definition 00:48 Nodes and Vertices 01:01 Empty Graph Example 01:17 Graph Implementation Concepts 02:02 Node Data and Templates 03:22 Adding Nodes 04:00 Adding Edges 04:44 What Graphs Represent 05:36 Graph Use Cases 06:56 Real-World Examples 08:35 Four Types of Graphs 08:52 Undirected Unweighted Graph 10:40 Unweighted as Unit Weights 11:40 Undirected Weighted Graph 13:32 Weighted Graph Benefits 15:52 Directed Weighted Graph 19:50 Directed Unweighted Graph 20:32 Summary of Four Graph Types 21:19 Closing and Future Videos =-=-=-=-=-=-=-=-= Thanks for watching! Find us on other social media here: - https://www.NeuralLantern.com/social - Twitter / X: https://x.com/NeuralLantern - Rumble: https://rumble.com/c/c-3696939 - BitChute: https://www.bitchute.com/channel/pg1Pvv5dN4Gt - Daily Motion: https://www.dailymotion.com/neurallantern - Minds: https://www.minds.com/neurallantern/ - Odysee: https://odysee.com/@NeuralLantern:5 Please show your support! - Buy me a coffee: https://ko-fi.com/neurallantern - Subscribe + Sharing on Social Media - Leave a comment or suggestion - Subscribe to the Blog: https://www.NeuralLantern.com - Watch the main "pinned" video of this channel for offers and extras graphs, graph types, data structures, computer science, undirected graph, directed graph, weighted graph, unweighted graph, graph theory, vertices, edges, nodes, algorithms, coding tutorial, programming, binary search tree, network topology, pathfinding