Learn about the most effective data structures and algorithms for working with graphs, and how they can help you solve real-world problems in various domains and applications.

# Dijkstra's algorithm for finding the shortest paths in weighted graph on adjacency matrix ...

Implement graph traversal algorithms, specifically breadth-first search (BFS) and depth-first search (DFS). Represent the graph using either an adjacency matrix or an adjacency list. Explore various ...

We measure the performance of breadth-first search, max flow and random graph building algorithms when using compressed sparse row and adjacency matrix data structures. Experiments reveal different ...

Abstract: Graph data mining algorithms rely on graph canonical forms to compare different graph structures. These canonical form definitions depend on node and edge labels. In this paper, we introduce ...