Live briefing
Everything about Graph Query Language
Query language for property graphs
GQL is a standardized query language for property graphs first described in ISO/IEC 39075, released in April 2024 by ISO/IEC. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Graph Query LanguageA 5-minute orientation
- Skim a recent paper: BuildingGPT: Query building semantic data using large language models and vector-graph retrieval-augmented generationInfluential work since 2022
- Pick up a classic book: Graph DatabasesThe most-reprinted book on the subject
- Read the landmark paper: Query languages for graph databasesCited 198 times
- Go sideways: Cypher (query language)A closely related topic
- Go sideways: Graph databaseA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Query languages for graph databases
G-Log: a graph-based query language
A model and query language for temporal graph databases
PICASSO: A graphical query language
LLM4QA: Leveraging Large Language Model for Efficient Knowledge Graph Reasoning with SPARQL Query
Real-Time Text-to-Cypher Query Generation with Large Language Models for Graph Databases
Natural language question answering over knowledge graph: the marriage of SPARQL query and keyword search
SociaLite: An Efficient Graph Query Language Based on Datalog
🆕 Influential since 2022
BuildingGPT: Query building semantic data using large language models and vector-graph retrieval-augmented generation
KGVQL: A knowledge graph visual query language with bidirectional transformations
AOPWIKI-EXPLORER: An interactive graph-based query engine leveraging large language models
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence
📚 Books worth reading
Graph DatabasesIan Robinson, Jim Webber · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Cypher (query language) Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph. Cypher was largely an invention…
- Graph database A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key…
- SQL:2023 SQL:2023 or ISO/IEC 9075:2023 (under the general title "Information technology – Database languages – SQL") is the ninth edition of the ISO (1987) and…
- Property graph A property graph, labeled property graph, or attributed graph is a data model of various graph-oriented databases, where pairs of entities are associated…
- Neo4j Neo4j, Inc. is a global graph intelligence company that provides technology for analyzing and managing connected data. It is most known for creating the…
- Google Cloud Datastore Google Cloud Datastore was a NoSQL database service provided by Google Cloud Platform. It is now superseded by Firestore which offers a "Datastore compatibility…
- ISO/IEC 9075 ISO/IEC 9075 "Information technology - Database languages - SQL" is an international standard for Structured Query Language, and is considered as specifying…
- Topic map A topic map is a standard for the representation and interchange of knowledge, with an emphasis on the findability of information. Topic maps were originally…