mlsanityData to 14 Oct 2026

An introduction to Graph Data Management

arXiv 1801.00036 ↗First posted 29 Dec 2017cs.DBcited by 11

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Abstract (arXiv)

A graph database is a database where the data structures for the schema and/or instances are modeled as a (labeled)(directed) graph or generalizations of it, and where querying is expressed by graph-oriented operations and type constructors. In this article we present the basic notions of graph databases, give an historical overview of its main development, and study the main current systems that implement them.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Dec 2017.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 3; 2023: 1; 2024: 2; 2025: 2; 2026: 3.

11 papers.

  1. 2024Demystifying Chains, Trees, and Graphs of Thoughtscited by 63
  2. 2022Neural Graph Databasescited by 11
  3. 2023HOT: Higher-Order Dynamic Graph Representation Learning with Efficient Transformerscited by 10
  4. 2022A Survey on Knowledge Graph-based Methods for Automated Drivingcited by 8
  5. 2025OpenGU: A Comprehensive Benchmark for Graph Unlearningcited by 8
  6. 2022A Survey on Visual Transfer Learning using Knowledge Graphscited by 7
  7. 2024Demystifying Higher-Order Graph Neural Networkscited by 4
  8. 2026GraphSeek: Next-Generation Graph Analytics with LLMscited by 1
  9. 2025Higher-Order Graph Databasescited by 0
  10. 2026Odin: Multi-Signal Graph Intelligence for Autonomous Discovery in Knowledge Graphscited by 0
  11. 2026Experience Graphs: The Data Foundation for Self-Improving Agentscited by 0