 KaifAhmad1
|
6fc69aef2e
|
[FEATURE] Enhanced Graph Algorithms in KG Module #292
This commit introduces comprehensive enhancements to the Knowledge Graph (KG) module with:
Major Enhancements:
- Complete algorithm suite with 30+ graph algorithms
- Unified provenance tracking system for all operations
- Comprehensive documentation and test coverage
- Enterprise-grade functionality
New Algorithm Components:
- NodeEmbedder: Node2Vec, DeepWalk, Word2Vec algorithms
- SimilarityCalculator: Cosine, Euclidean, Manhattan, Correlation metrics
- PathFinder: Dijkstra, A*, BFS, K-shortest paths
- LinkPredictor: Preferential attachment, Jaccard, Adamic-Adar
- CentralityCalculator: Degree, Betweenness, Closeness, PageRank
- CommunityDetector: Louvain, Leiden, Label propagation
- ConnectivityAnalyzer: Components, bridges, density analysis
Provenance System:
- GraphBuilderWithProvenance: Graph construction with tracking
- AlgorithmTrackerWithProvenance: Algorithm execution tracking
- Execution IDs and metadata tracking for reproducibility
Test Coverage:
- 5 comprehensive test suites with 40+ test methods
- End-to-end testing for all algorithms
- Real-world scenario testing
- Provenance integration testing
Documentation:
- Updated all module documentation with algorithm listings
- Enhanced KG reference documentation
- Comprehensive usage examples and API documentation
Technical Improvements:
- Unified provenance system integration
- Enhanced error handling and recovery
- Performance optimizations
- NetworkX compatibility with fallback implementations
Resolves: #292
Parent: Context Graphs feature
|
2026-02-10 21:49:11 +05:30 |
|