Neural Lantern (@neurallantern)

Graph Basics in Data Structures: Nodes, Edges, and Representations https://www.youtube.com/watch?v=bz7VFYnTTQQ Learn graph basics: nodes, edges, neighbors, adjacency. Undirected vs directed, unweighted vs weighted. Representations including edge list, adjacency list, and matrix. Great intro for computer science students. 00:00 Graph Basics Introduction 00:41 Nodes and Edges 01:20 Node and Edge Classes in C++ 03:46 Simple Graph Examples 04:29 Adding Edges - Undirected Unweighted 05:26 Real World Uses of Graphs 07:08 Graph Terminology - Neighbors and Adjacency 08:32 Edges Incident on Nodes 09:20 Graph Representations - Edge List 09:59 Adjacency List 10:27 Adjacency Matrix 11:19 Directed Graphs 13:04 Weighted Graphs and Path Costs 15:24 Video Conclusion =-=-=-=-=-=-=-=-= 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 graph data structure, graphs computer science, nodes and edges, adjacency list, adjacency matrix, edge list, undirected graph, directed graph, weighted graph, C++ graph tutorial, data structures tutorial, computer science basics, graph terminology, graph representations