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 data that doesn’t just live in isolation. It’s data that shows how things rel...
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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Enterprise Graph Database
What the Enterprise Gets Wrong about Graph Databases
Enterprises often assume all graph databases are the same. Many fi...
Entity Resolution
Entity Resolution
In a world where the same individual might appear as “Alex J.” in a CRM, “A. Johnson” in a transactio...
Explainable AI with Graph Databases
What Is Explainable AI with Graph Databases?
Explainable AI (XAI) with graph databases is the practice of making AI sys...
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Graph AI
What the enterprise gets wrong about Graph AI
Enterprises frequently misinterpret Graph AI, often reducing it to either...
Graph Algorithms
What the Enterprise Gets Wrong About Graph Algorithms
Enterprises often treat graph algorithms as interchangeable utili...
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 the Enterprise Gets Wrong About Graph Data Science
Graph data science is often misunderstood as either a luxury or...
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 the Enterprise Gets Wrong About Graph Machine Learning
Enterprise teams frequently misunderstand graph machine lea...
Graph Neural Network (GNN)
Why Graph Neural Network (GNN) Matter?
Graph Neural Networks (GNNs) are revolutionizing how machine learning systems pr...
Graph Search
Clarifying Graph Search Misconceptions
Graph search is often misunderstood as a simple keyword-based lookup, similar to...
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 Enterprises Get Wrong About GraphRAG
Many organizations adopt GraphRAG as a bolt-on enhancement to LLM pipelines, ...
GSQL Query Language
Clarifying Misconceptions About GSQL Query Language
Many people assume that GSQL is just another query language like SQ...
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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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Scalable Graph Database
What the Enterprise Gets Wrong About Scalable Graph Databases
Many enterprises assume scalability in a graph database s...
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 ...
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