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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