Graph Data Structure
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What is Graph Data Structure?
A Graph Data Structure consists of a set of vertices (or nodes) and edges where each edge connects a pair of vertices. It can be visualized as networks consisting of elements in interconnected various relationships. There are two major types of graphs: Directed and Undirected. In a directed graph, all the edges are unidirectional - they only go one way. On the other hand, in an undirected graph, the edges are not directed - they are bidirectional. Another concept important to graphs is the idea of 'Weighted' and 'Unweighted' graphs. In a weighted graph, each edge is assigned a weight or cost. Unweighted graphs don't have these extra edge information. Graphs have a diverse set of applications in computer science, from creating connections between web pages to modeling networks and much more.
More in stage 11: Advanced Data Structures
- Advanced Data Structures
- Trie
- Segment Trees
- Fenwick Trees
- Disjoint Set (Union-Find)
- Suffix Trees and Arrays
- Binary Trees
- Tree Traversal
- Search Algorithms
- Binary Search Trees
- In-Order Traversal
- Breadth First Search
- AVL Trees
- Pre-Order Traversal
- Depth First Search
- B-Trees
- Heap
- Post-Order Traversal
- Search Algorithms
- Breadth First Search
- Depth First Search
- Dijkstra's Algorithm
- Bellman-Ford Algoritm
- A* Algorithm
- Minimum Spanning Tree
- Prim's Algorithm
- Kruskal's Algorithm
Graph Data Structure: common questions
Can I learn Graph Data Structure in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Graph Data Structure in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Graph Data Structure tutorial for beginners?
It is lesson 73 of 107 in the free Data Structures & Algorithms roadmap, in stage 11, Advanced Data Structures. If you are new to Data Structures & Algorithms, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.