graph-algorithm-library
SolidComprehensive graph algorithms implementation
AI & Automation 1,160 stars
71 forks Updated today MIT
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# 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
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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