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domains/intro-to-graph/learning-graph.csv
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| 1 |
+
ConceptID,ConceptLabel,Dependencies,TaxonomyID
|
| 2 |
+
1,Data Modeling,2,FOUND
|
| 3 |
+
2,World Models,,FOUND
|
| 4 |
+
3,Knowledge Representation,,FOUND
|
| 5 |
+
4,RDBMS,1|14,FOUND
|
| 6 |
+
5,OLAP,4,FOUND
|
| 7 |
+
6,OLTP,4,FOUND
|
| 8 |
+
7,NoSQL Databases,4|1,FOUND
|
| 9 |
+
8,Key-Value Stores,7,FOUND
|
| 10 |
+
9,Document Databases,7,FOUND
|
| 11 |
+
10,Wide-Column Stores,7,FOUND
|
| 12 |
+
11,Graph Databases,7|18,FOUND
|
| 13 |
+
12,CAP Theorem,7,FOUND
|
| 14 |
+
13,Tradeoff Analysis,12,FOUND
|
| 15 |
+
14,Schema Design,,FOUND
|
| 16 |
+
15,Hash Maps,,FOUND
|
| 17 |
+
16,Trees,,FOUND
|
| 18 |
+
17,Arrays,,FOUND
|
| 19 |
+
18,Data Structures,15|16|17,FOUND
|
| 20 |
+
19,Relational Model,4,FOUND
|
| 21 |
+
20,Normalization,19,FOUND
|
| 22 |
+
21,Labeled Property Graph,11|22|23|24|25,GRAPH
|
| 23 |
+
22,Nodes,11,GRAPH
|
| 24 |
+
23,Edges,11|22,GRAPH
|
| 25 |
+
24,Properties,22|23,GRAPH
|
| 26 |
+
25,Labels,22,GRAPH
|
| 27 |
+
26,Schema-Optional Modeling,14|21,GRAPH
|
| 28 |
+
27,Schema-Enforced Modeling,14|21,GRAPH
|
| 29 |
+
28,Index-Free Adjacency,23|29,GRAPH
|
| 30 |
+
29,Traversal,23|22,GRAPH
|
| 31 |
+
30,Graph Query,21|29,GRAPH
|
| 32 |
+
31,Pattern Matching,30,GRAPH
|
| 33 |
+
32,Multi-Hop Queries,29|30,GRAPH
|
| 34 |
+
33,Aggregation,30,GRAPH
|
| 35 |
+
34,Path Patterns,29|31,GRAPH
|
| 36 |
+
35,Constant-Time Neighbor Access,28,GRAPH
|
| 37 |
+
36,First-Class Relationships,23|21,GRAPH
|
| 38 |
+
37,Edge Direction,23,GRAPH
|
| 39 |
+
38,Graph Data Model,21,GRAPH
|
| 40 |
+
39,Graph Schema,38|14,GRAPH
|
| 41 |
+
40,Metadata Representation,24,GRAPH
|
| 42 |
+
41,Open World Model,26,FOUND
|
| 43 |
+
42,Closed World Model,27,FOUND
|
| 44 |
+
43,Graph Validation,39,GRAPH
|
| 45 |
+
44,Document Validation,9,GRAPH
|
| 46 |
+
45,Rule Systems,43,GRAPH
|
| 47 |
+
46,OpenCypher,30|21,QUERY
|
| 48 |
+
47,GSQL,30|21,QUERY
|
| 49 |
+
48,Statistical Query Tuning,64|65,QUERY
|
| 50 |
+
49,GQL,30|21,QUERY
|
| 51 |
+
50,Cypher Syntax,46,QUERY
|
| 52 |
+
51,Match Clause,50,QUERY
|
| 53 |
+
52,Where Clause,50,QUERY
|
| 54 |
+
53,Return Clause,50,QUERY
|
| 55 |
+
54,Create Statement,50,QUERY
|
| 56 |
+
55,Merge Statement,50|54,QUERY
|
| 57 |
+
56,Delete Statement,50,QUERY
|
| 58 |
+
57,Set Clause,50,QUERY
|
| 59 |
+
58,Graph Patterns,31|50,QUERY
|
| 60 |
+
59,Variable Length Paths,34|51,QUERY
|
| 61 |
+
60,Shortest Path,59,QUERY
|
| 62 |
+
61,All Paths,34|51,QUERY
|
| 63 |
+
62,Map-Reduce Pattern,47,QUERY
|
| 64 |
+
63,Accumulators,47|62,QUERY
|
| 65 |
+
64,Query Optimization,30,QUERY
|
| 66 |
+
65,Query Performance,64,QUERY
|
| 67 |
+
66,Query Latency,65,QUERY
|
| 68 |
+
67,Query Throughput,65,QUERY
|
| 69 |
+
68,Declarative Queries,46|49,QUERY
|
| 70 |
+
69,Imperative Queries,47,QUERY
|
| 71 |
+
70,Query Plans,64,QUERY
|
| 72 |
+
71,Hop Count,32|29,PERF
|
| 73 |
+
72,Degree of Node,22|23,GRAPH
|
| 74 |
+
73,Indegree,72|37,PERF
|
| 75 |
+
74,Outdegree,72|37,PERF
|
| 76 |
+
75,Edge-to-Node Ratio,22|23,GRAPH
|
| 77 |
+
76,Graph Indexes,39,PERF
|
| 78 |
+
77,Vector Indexes,76,PERF
|
| 79 |
+
78,Full-Text Search,76,PERF
|
| 80 |
+
79,Composite Indexes,76,PERF
|
| 81 |
+
80,Graph Metrics,72|71,PERF
|
| 82 |
+
81,Performance Benchmarking,65,PERF
|
| 83 |
+
82,Synthetic Benchmarks,81,PERF
|
| 84 |
+
83,Single-Node Benchmarks,81,GRAPH
|
| 85 |
+
84,Multi-Node Benchmarks,81|191,GRAPH
|
| 86 |
+
85,LDBC SNB Benchmark,82,PERF
|
| 87 |
+
86,Graph 500,82,PERF
|
| 88 |
+
87,Query Cost Analysis,65|70,PERF
|
| 89 |
+
88,Join Operations,4|19,PERF
|
| 90 |
+
89,Traversal Cost,29|87,GRAPH
|
| 91 |
+
90,Scalability,81|191,PERF
|
| 92 |
+
91,Breadth-First Search,29,ALGO
|
| 93 |
+
92,Depth-First Search,29,ALGO
|
| 94 |
+
93,A-Star Algorithm,94,ALGO
|
| 95 |
+
94,Pathfinding,60|91,ALGO
|
| 96 |
+
95,Traveling Salesman Problem,94,ALGO
|
| 97 |
+
96,PageRank,98,ALGO
|
| 98 |
+
97,Community Detection,108,ALGO
|
| 99 |
+
98,Centrality Measures,72,ALGO
|
| 100 |
+
99,Betweenness Centrality,98,ALGO
|
| 101 |
+
100,Closeness Centrality,98,ALGO
|
| 102 |
+
101,Graph Embeddings,102,ALGO
|
| 103 |
+
102,Graph Neural Networks,21|110,ALGO
|
| 104 |
+
103,Link Prediction,102,ALGO
|
| 105 |
+
104,Node Classification,102,GRAPH
|
| 106 |
+
105,Graph Clustering,97|102,ALGO
|
| 107 |
+
106,Shortest Path Algorithms,60|94,QUERY
|
| 108 |
+
107,Minimum Spanning Tree,16|23,FOUND
|
| 109 |
+
108,Connected Components,29|91,ALGO
|
| 110 |
+
109,Strongly Connected Components,108|37,ALGO
|
| 111 |
+
110,Weakly Connected Components,108|37,ALGO
|
| 112 |
+
111,Social Networks,21,SOCIAL
|
| 113 |
+
112,Friend Graphs,111|23,SOCIAL
|
| 114 |
+
113,Influence Graphs,111|37,SOCIAL
|
| 115 |
+
114,Follower Networks,111|37,SOCIAL
|
| 116 |
+
115,Activity Streams,111|24,SOCIAL
|
| 117 |
+
116,User Profiles,111|22|24,SOCIAL
|
| 118 |
+
117,Relationship Types,23|25,SOCIAL
|
| 119 |
+
118,Sentiment Analysis,119,SOCIAL
|
| 120 |
+
119,Natural Language Processing,3,SOCIAL
|
| 121 |
+
120,Fake Account Detection,111|97,SOCIAL
|
| 122 |
+
121,Human Resources Modeling,111|38,SOCIAL
|
| 123 |
+
122,Org Chart Models,121|16,SOCIAL
|
| 124 |
+
123,Skill Management,121|22|24,SOCIAL
|
| 125 |
+
124,Task Assignment,122|23,SOCIAL
|
| 126 |
+
125,Backlog Management,124,SOCIAL
|
| 127 |
+
126,Concept Dependency Graphs,21|37|3,KNOW
|
| 128 |
+
127,Curriculum Graphs,126,KNOW
|
| 129 |
+
128,Ontologies,3,KNOW
|
| 130 |
+
129,SKOS,128,KNOW
|
| 131 |
+
130,Preferred Labels,129|25,GRAPH
|
| 132 |
+
131,Alternate Labels,129|25,GRAPH
|
| 133 |
+
132,Acronym Lists,130|131,KNOW
|
| 134 |
+
133,Glossaries,130|131,KNOW
|
| 135 |
+
134,Controlled Vocabularies,129,KNOW
|
| 136 |
+
135,Taxonomies,134|16,KNOW
|
| 137 |
+
136,Enterprise Knowledge,128|3,GRAPH
|
| 138 |
+
137,Department Knowledge,136,GRAPH
|
| 139 |
+
138,Project Knowledge,136,GRAPH
|
| 140 |
+
139,Personal Knowledge Graphs,21|3,GRAPH
|
| 141 |
+
140,Note-Taking Systems,139,KNOW
|
| 142 |
+
141,Knowledge Capture,3|136,GRAPH
|
| 143 |
+
142,Tacit Knowledge,141,GRAPH
|
| 144 |
+
143,Codifiable Knowledge,141,GRAPH
|
| 145 |
+
144,Knowledge Management,136|141,GRAPH
|
| 146 |
+
145,Action Item Extraction,119|138,KNOW
|
| 147 |
+
146,Subgraphs,21|22|23,PATTERN
|
| 148 |
+
147,Supernodes,22|72,GRAPH
|
| 149 |
+
148,Anti-Patterns,38|39,PATTERN
|
| 150 |
+
149,Hyperedges,23|33,GRAPH
|
| 151 |
+
150,Multi-Edges,23|117,GRAPH
|
| 152 |
+
151,Time-Based Modeling,24|38,PATTERN
|
| 153 |
+
152,Time Trees,151|16,FOUND
|
| 154 |
+
153,IoT Event Modeling,151|24,PATTERN
|
| 155 |
+
154,Decision Trees,16|45,FOUND
|
| 156 |
+
155,Bitemporal Models,151,PATTERN
|
| 157 |
+
156,Graph Quality Metrics,80|43,PATTERN
|
| 158 |
+
157,Model Validation,43|39,PATTERN
|
| 159 |
+
158,Schema Evolution,39,PATTERN
|
| 160 |
+
159,Data Migration,158|163,PATTERN
|
| 161 |
+
160,ETL Pipelines,163,PATTERN
|
| 162 |
+
161,CSV Import,160,PATTERN
|
| 163 |
+
162,JSON Import,160,PATTERN
|
| 164 |
+
163,Data Loading,21,PATTERN
|
| 165 |
+
164,Bulk Loading,163,PATTERN
|
| 166 |
+
165,Incremental Loading,163|164,PATTERN
|
| 167 |
+
166,Web Storefront Models,38|21,SUPPLY
|
| 168 |
+
167,Product Catalogs,166|22|24,SUPPLY
|
| 169 |
+
168,Recommendation Engines,96|103|167,SUPPLY
|
| 170 |
+
169,Bill of Materials,16|21,SUPPLY
|
| 171 |
+
170,Complex Parts,169,SUPPLY
|
| 172 |
+
171,Supply Chain Modeling,21|38|169,SUPPLY
|
| 173 |
+
172,Financial Transactions,21|23|24,FIN
|
| 174 |
+
173,Fraud Detection,172|97|113,FIN
|
| 175 |
+
174,Anti-Money Laundering,173,FIN
|
| 176 |
+
175,Know Your Customer,172|174,FIN
|
| 177 |
+
176,Account Networks,172|111,FIN
|
| 178 |
+
177,Healthcare Graphs,21|38,HEALTH
|
| 179 |
+
178,Provider-Patient Graphs,177|23,HEALTH
|
| 180 |
+
179,Electronic Health Records,177|9,HEALTH
|
| 181 |
+
180,Clinical Pathways,178|34,HEALTH
|
| 182 |
+
181,IT Asset Management,21|38,SUPPLY
|
| 183 |
+
182,Dependency Graphs,21|37|126,SUPPLY
|
| 184 |
+
183,Network Topology,181|23,SUPPLY
|
| 185 |
+
184,Configuration Management,181|24,SUPPLY
|
| 186 |
+
185,Impact Analysis,182|94,SUPPLY
|
| 187 |
+
186,Root Cause Analysis,91|185,SUPPLY
|
| 188 |
+
187,Regulatory Compliance,45|157,SUPPLY
|
| 189 |
+
188,Data Lineage,182|37,SUPPLY
|
| 190 |
+
189,Master Data Management,4|38,SUPPLY
|
| 191 |
+
190,Reference Data Models,38|39,SUPPLY
|
| 192 |
+
191,Distributed Graph Databases,11,ADV
|
| 193 |
+
192,Graph Partitioning,191,ADV
|
| 194 |
+
193,Sharding Strategies,192,ADV
|
| 195 |
+
194,Replication,191,ADV
|
| 196 |
+
195,Consistency Models,191|12,ADV
|
| 197 |
+
196,Graph Visualization,21|30,ADV
|
| 198 |
+
197,Interactive Queries,30|196,ADV
|
| 199 |
+
198,Real-Time Analytics,65|191,ADV
|
| 200 |
+
199,Batch Processing,160|198,ADV
|
| 201 |
+
200,Capstone Project Design,21|38|46|47|163|168,ADV
|