TigerGraph Glossary
Discover the TigerGraph Glossary
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Community Detection
What is Community Detection?
Community detection is a graph analytics technique used to uncover groups of nodes that ar...
Connected Data
What is Connected Data?
Connected data is information that does not live in isolation. It describes how entities relate...
Contextual Reasoning in Graph AI
What Is Contextual Reasoning in Graph AI?
Contextual reasoning in graph AI is the ability of an AI system to interpret ...
Cypher Query Language
Things You Didn’t Know About Cypher Query Language
The Cypher graph query language was developed by Neo4j. Some people ...
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Graph AI
What is Graph AI?
Graph AI is the fusion of artificial intelligence and graph technology. At its core, it applies machi...
Graph Algorithms
What the Enterprise Gets Wrong About Graph Algorithms?
Enterprises often treat graph algorithms as interchangeable util...
Graph Data Loading Performance
What Is Graph Data Loading Performance?
Graph data loading performance measures how quickly a graph database can ingest...
Graph Data Science
What Is Graph Data Science?
Graph data science involves using graph algorithms, statistical techniques, and machine lea...
Graph Database
What is a Graph Database?
A graph database stores data as a network of interconnected entities, to make it easy to ask ...
Graph Database Performance
What Is Graph Database Performance?
Graph database performance describes how well a graph system handles its most criti...
Graph Machine Learning
What is Graph Machine Learning?
Graph machine learning is a class of machine learning techniques designed specifically ...
Graph Neural Network (GNN)
What is the Definition of a Graph Neural Network (GNN)?
A Graph Neural Network is a machine learning architecture that ...
Graph Search
What is a Graph Search?
A graph search is a method of querying and exploring connected data in a graph database, allowi...
Graph Traversal
What is Graph Traversal?
Graph traversal is the process of systematically visiting nodes (also called vertices) and fol...
Graph-Based Risk Scoring
What is Graph-Based Risk Scoring?
Graph-based risk scoring is a way of evaluating risk that goes beyond looking at isol...
Graph-Powered Cybersecurity
What is Graph-Powered Cybersecurity?
Graph-powered cybersecurity uses graph databases and analytics to strengthen threa...
GraphRAG
What is GraphRAG?
GraphRAG (Graph Retrieval-Augmented Generation) enhances traditional RAG by embedding knowledge graph...
GSQL Query Language
Misconceptions About GSQL Query Language
Many people assume that GSQL is just another query language like SQL, Cypher, ...
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Know Your Customer (KYC)
What is Know Your Customer (KYC)?
Know Your Customer (KYC) is the process financial institutions and other regulated or...
Knowledge Graph
What is a Knowledge Graph?
A knowledge graph is a structured representation of entities and relationships that embodies...
Knowledge Graph LLM
What Is a Knowledge Graph LLM?
A Knowledge Graph LLM combines two essential components for building intelligent, trustw...
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Parallel Graph Processing
What is Parallel Graph Processing?
Parallel graph processing is a method for accelerating complex graph operations by b...
Pattern Detection with Graphs
What is Pattern Detection with Graphs?
Pattern detection with graphs is the process of identifying meaningful shapes, b...
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Real-Time Graph Analytics
What are Real-Time Graph Analytics?
Real-time graph analytics refers to the ability to process, analyze, and act on dat...
Recommendation Algorithms
What is a Recommendation Algorithm?
A recommendation algorithm is a decision-making or scoring system designed to sugge...
Retrieval-Augmented Generation (RAG)
What is retrieval-augmented generation (RAG)?
Retrieval-augmented generation (RAG) is an AI application framework that ...
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Scalable Graph Database
What the Enterprise Gets Wrong About Scalable Graph Databases
Many enterprises assume scalability in a graph database s...
Semi-Structured Data
What is Semi-structured Data?
Semi-structured data has some recognizable structure, but does not enforce a single, stab...
Shared-Variable Computing in Graphs
What Is Shared-Variable Logic in Graphs?
Shared-variable logic in graphs is a technique that lets different parts of a ...
Similarity Search
Introduction to Similarity Search
In many real-life applications, no two situations are exactly alike. The same object ...
Structured Data
What is Structured Data?
Structured data is information that is organized according to a predefined schema, with clearl...
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