Graph Algorithm Library
SkillDev toolsComprehensive graph algorithms implementation
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Details
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What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/mathematics/skills/graph-algorithm-library/SKILL.md and read by Ahel’s review.
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
- Representation: Choose appropriate graph representation
- Algorithm Selection: Match algorithm to problem structure
- Complexity Analysis: Consider time/space tradeoffs
- Sparse Graphs: Use specialized algorithms for sparse graphs
Tools/Libraries
- NetworkX
- igraph
- LEMON
- Boost Graph Library
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
graph-algorithm-library- Source
- github.com/a5c-ai/babysitter