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Concept Enumeration

Prompt

Next, please create an enumerated list of the 150 key Concepts in this course on graph data modeling. The list should be ordered from the simplest introductory concepts such as foundational concepts and definitions to the most complex topics at the end of the list.

For each Concept, return a sequential ID and a ConceptLabel. The ConceptLabel should be under 30 characters long. Only use abbreviations in the ConceptLabel if the ConceptLabel is over 30 characters long. Make sure that each Concept only appears once on the list. Avoid duplicate concepts.

Sample Response

  1. Graph Data Model
  2. Node
  3. Edge
  4. Property
  5. Path
  6. Dependency
  7. Graph Schema
  8. Graph Query Lang
  9. ISO GQL
  10. Data vs Info
  11. Knowledge vs Data
  12. Model vs Algorithm
  13. LLM Integration
  14. Graph Futures
  15. Modeling Basics
  16. Directed Graphs
  17. Undirected Graphs
  18. Weighted Edges
  19. Unweighted Edges
  20. Multiplicity
  21. Indexing in Graphs
  22. Graph Traversal
  23. Pattern Matching
  24. Graph Merging
  25. Graph Splitting
  26. Graph Updates
  27. Graph Integrity
  28. Graph Constraints
  29. Graph Normalization
  30. Graph Aggregation
  31. Schema Evolution
  32. Graph Versioning
  33. Graph Data Import
  34. Graph Data Export
  35. Hierarchical Nodes
  36. Hyperedges
  37. Multi-Graphs
  38. Loops and Cycles
  39. Graph Isomorphism
  40. Graph Sampling
  41. Customer Node
  42. Individual Customer
  43. Corporate Customer
  44. Organizational Roles
  45. License Modeling
  46. Abuse Detection
  47. Fraud Indicators
  48. Customer Churn
  49. Customer Segments
  50. Customer Profiles
  51. Product Node
  52. Product Listing
  53. Product Group
  54. Taxonomy Node
  55. Multi-Taxonomy
  56. Product Classification
  57. Product Metadata
  58. SKU Linking
  59. Catalog Graph
  60. Product Bundles
  61. Location Node
  62. Address Node
  63. City Graph
  64. County Graph
  65. State Graph
  66. Metro Region
  67. Urban vs Rural
  68. Road Network
  69. Distance Calc
  70. Geo-Spatial Model
  71. Datetime Node
  72. Time Tree
  73. Financial Time
  74. Temporal Exceptions
  75. Temporal Indexes
  76. Temporal Queries
  77. Temporal Alignments
  78. Historical Graphs
  79. Future Projections
  80. Time Granularity
  81. Knowledge Graph
  82. SKOS Concepts
  83. Concept Node
  84. Labels & Notation
  85. Broader Concepts
  86. Narrower Concepts
  87. Concept Schemas
  88. Semantic Layers
  89. Concept Hierarchies
  90. Semantic Reasoning
  91. NLP Integration
  92. Word Node
  93. Sentence Node
  94. Paragraph Node
  95. Document Node
  96. Doc Pipelines
  97. Text Classification
  98. Embeddings
  99. WordNet Case
  100. Text Summarization
  101. Fraud Patterns
  102. AML Modeling
  103. Unusual Relations
  104. Investigation Paths
  105. Suspicious Entities
  106. Threat Modeling
  107. Vulnerability Node
  108. Threat Prioritization
  109. Person Roles
  110. Data Movement Anomaly
  111. Patient Node
  112. Disease Spread
  113. Healthcare Costs
  114. Value-Based Care
  115. Entity Resolution
  116. Similar Attribute
  117. Similarity Metrics
  118. Duplicate Detection
  119. Merge Rules
  120. Identity Graph
  121. Building Models
  122. Manufacturing Graph
  123. Supply Chain Node
  124. Scene Graph
  125. Pixel Classes
  126. Motion Prediction
  127. Autonomous Vehicles
  128. Robotics Integration
  129. Process Graphs
  130. Workflow Events
  131. Rule Engine
  132. Rule Workflow
  133. Decision Tree
  134. Validation Rules
  135. Data Mining
  136. Rule Exchange
  137. Code Graphs
  138. Call Graph
  139. Coverage Graph
  140. Code Quality
  141. Learning Graphs
  142. Concept Dependency
  143. Content Models
  144. Learning Paths
  145. Concept Recommender
  146. Intelligent Textbooks
  147. Correlation vs Cause
  148. Causal Graph
  149. Data Lineage
  150. Graph Storytelling