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graph-algorithm-library

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Comprehensive graph algorithms implementation

General

What this skill does


# Graph Algorithm Library

## Purpose

Provides comprehensive graph algorithms for combinatorial analysis and network computations.

## Capabilities

- Shortest path algorithms (Dijkstra, Bellman-Ford, Floyd-Warshall)
- Network flow algorithms
- Matching algorithms
- Graph coloring
- Planarity testing
- Graph isomorphism

## Usage Guidelines

1. **Representation**: Choose appropriate graph representation
2. **Algorithm Selection**: Match algorithm to problem structure
3. **Complexity Analysis**: Consider time/space tradeoffs
4. **Sparse Graphs**: Use specialized algorithms for sparse graphs

## Tools/Libraries

- NetworkX
- igraph
- LEMON
- Boost Graph Library

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