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Concept List for Introduction to Graph Databases

Total Concepts: 200 Generated: 2025-11-18 Skill Version: 0.02

Foundational Concepts (1-20)

  1. Data Modeling
  2. World Models
  3. Knowledge Representation
  4. RDBMS
  5. OLAP
  6. OLTP
  7. NoSQL Databases
  8. Key-Value Stores
  9. Document Databases
  10. Wide-Column Stores
  11. Graph Databases
  12. CAP Theorem
  13. Tradeoff Analysis
  14. Schema Design
  15. Data Structures
  16. Hash Maps
  17. Trees
  18. Arrays
  19. Relational Model
  20. Normalization

Graph Database Fundamentals (21-45)

  1. Labeled Property Graph
  2. Nodes
  3. Edges
  4. Properties
  5. Labels
  6. Schema-Optional Modeling
  7. Schema-Enforced Modeling
  8. Index-Free Adjacency
  9. Traversal
  10. Graph Query
  11. Pattern Matching
  12. Multi-Hop Queries
  13. Aggregation
  14. Path Patterns
  15. Constant-Time Neighbor Access
  16. First-Class Relationships
  17. Edge Direction
  18. Graph Data Model
  19. Graph Schema
  20. Metadata Representation
  21. Open World Model
  22. Closed World Model
  23. Graph Validation
  24. Document Validation
  25. Rule Systems

Query Languages (46-70)

  1. OpenCypher
  2. GSQL
  3. Statistical Query Tuning
  4. GQL
  5. Cypher Syntax
  6. Match Clause
  7. Where Clause
  8. Return Clause
  9. Create Statement
  10. Merge Statement
  11. Delete Statement
  12. Set Clause
  13. Graph Patterns
  14. Variable Length Paths
  15. Shortest Path
  16. All Paths
  17. Map-Reduce Pattern
  18. Accumulators
  19. Query Optimization
  20. Query Performance
  21. Query Latency
  22. Query Throughput
  23. Declarative Queries
  24. Imperative Queries
  25. Query Plans

Performance and Indexing (71-90)

  1. Hop Count
  2. Degree of Node
  3. Indegree
  4. Outdegree
  5. Edge-to-Node Ratio
  6. Graph Indexes
  7. Vector Indexes
  8. Full-Text Search
  9. Composite Indexes
  10. Graph Metrics
  11. Performance Benchmarking
  12. Synthetic Benchmarks
  13. Single-Node Benchmarks
  14. Multi-Node Benchmarks
  15. LDBC SNB Benchmark
  16. Graph 500
  17. Query Cost Analysis
  18. Join Operations
  19. Traversal Cost
  20. Scalability

Graph Algorithms (91-110)

  1. Breadth-First Search
  2. Depth-First Search
  3. A-Star Algorithm
  4. Pathfinding
  5. Traveling Salesman Problem
  6. PageRank
  7. Community Detection
  8. Centrality Measures
  9. Betweenness Centrality
  10. Closeness Centrality
  11. Graph Embeddings
  12. Graph Neural Networks
  13. Link Prediction
  14. Node Classification
  15. Graph Clustering
  16. Shortest Path Algorithms
  17. Minimum Spanning Tree
  18. Connected Components
  19. Strongly Connected Components
  20. Weakly Connected Components

Social Network Modeling (111-125)

  1. Social Networks
  2. Friend Graphs
  3. Influence Graphs
  4. Follower Networks
  5. Activity Streams
  6. User Profiles
  7. Relationship Types
  8. Sentiment Analysis
  9. Natural Language Processing
  10. Fake Account Detection
  11. Human Resources Modeling
  12. Org Chart Models
  13. Skill Management
  14. Task Assignment
  15. Backlog Management

Knowledge Representation (126-145)

  1. Concept Dependency Graphs
  2. Curriculum Graphs
  3. Ontologies
  4. SKOS
  5. Preferred Labels
  6. Alternate Labels
  7. Acronym Lists
  8. Glossaries
  9. Controlled Vocabularies
  10. Taxonomies
  11. Enterprise Knowledge
  12. Department Knowledge
  13. Project Knowledge
  14. Personal Knowledge Graphs
  15. Note-Taking Systems
  16. Knowledge Capture
  17. Tacit Knowledge
  18. Codifiable Knowledge
  19. Knowledge Management
  20. Action Item Extraction

Graph Modeling Patterns (146-165)

  1. Subgraphs
  2. Supernodes
  3. Anti-Patterns
  4. Hyperedges
  5. Multi-Edges
  6. Time-Based Modeling
  7. Time Trees
  8. IoT Event Modeling
  9. Decision Trees
  10. Bitemporal Models
  11. Graph Quality Metrics
  12. Model Validation
  13. Schema Evolution
  14. Data Migration
  15. ETL Pipelines
  16. CSV Import
  17. JSON Import
  18. Data Loading
  19. Bulk Loading
  20. Incremental Loading

Industry Applications (166-190)

  1. Web Storefront Models
  2. Product Catalogs
  3. Recommendation Engines
  4. Bill of Materials
  5. Complex Parts
  6. Supply Chain Modeling
  7. Financial Transactions
  8. Fraud Detection
  9. Anti-Money Laundering
  10. Know Your Customer
  11. Account Networks
  12. Healthcare Graphs
  13. Provider-Patient Graphs
  14. Electronic Health Records
  15. Clinical Pathways
  16. IT Asset Management
  17. Dependency Graphs
  18. Network Topology
  19. Configuration Management
  20. Impact Analysis
  21. Root Cause Analysis
  22. Regulatory Compliance
  23. Data Lineage
  24. Master Data Management
  25. Reference Data Models

Advanced Topics (191-200)

  1. Distributed Graph Databases
  2. Graph Partitioning
  3. Sharding Strategies
  4. Replication
  5. Consistency Models
  6. Graph Visualization
  7. Interactive Queries
  8. Real-Time Analytics
  9. Batch Processing
  10. Capstone Project Design