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Computer Science
Data Science
Knowledge Graphs
1. Introduction to Knowledge Graphs
2. Foundational Technologies
3. Schema Design and Ontology Engineering
4. Knowledge Graph Construction
5. Storage and Management Systems
6. Querying and Reasoning
7. Applications and Use Cases
8. Advanced Topics
9. Implementation and Best Practices
Advanced Topics
Knowledge Graph Embeddings
Vector Representations
Entity Embeddings
Relation Embeddings
Embedding Models
TransE
TransR
ComplEx
RotatE
Applications
Link Prediction
Entity Classification
Similarity Computation
Temporal Knowledge Graphs
Time-Varying Facts
Temporal Modeling
Event Representation
Temporal Reasoning
Versioning Strategies
Quality Assessment
Accuracy Metrics
Completeness Measures
Consistency Checking
Timeliness Evaluation
Quality Frameworks
Knowledge Graph Evolution
Change Detection
Update Propagation
Version Management
Migration Strategies
Explainability and Provenance
Provenance Models
Trust Assessment
Explanation Generation
Transparency Methods
Machine Learning Integration
Graph Neural Networks
Knowledge-Enhanced Learning
Neuro-Symbolic Approaches
Hybrid Systems
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7. Applications and Use Cases
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9. Implementation and Best Practices