What is graph?

Example

Four vertices, with edges joining three of them.

Dan sits in the same graph with no edge at all.

Lessons that use this term

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434 lessons use this term. The 40 with the highest term density are listed here.

Using Neo4j with .NET3 mentions

Accessing graph typesHandling resultsdo you access graph types from query1 mention

Intermediate Cypher Queries56 mentions

Querying for Null ValuesFiltering Queriesall Movie nodes in the graph that do not have a1 mention
Traversing the GraphGraph Traversalthis query and what you have learned about graph1 mention
Relationships TraversedGraph Traversalthis query and what you have learned about graph1 mention

Using Neo4j with Java5 mentions

Accessing Graph TypesHandling resultsyour understanding of how to access graph types returned by the Neo4j Java1 mention

Get started with Graph Data Science305 mentions

List and drop graphsGDS basic conceptsstored in GDS's graph catalog—an in-memory store of all your projected graphs67 mentions
Challenge: Clean your catalogGDS basic conceptslearned three essential operations for managing graphs in the20 mentions
Understand the GDS workflowGDS basic conceptsProject: Create an in-memory graph40 mentions

Using Neo4j with Python5 mentions

Accessing Graph TypesHandling resultscheck your understanding of how to work with graph types returned by the Neo4j Python1 mention

Building Knowledge Graphs with LLMs110 mentions

Customize the schemaLLM Graph BuilderCurrently, the LLM will extract any nodes and relationships in the text. The graph can become complex even with a single, relatively simple11 mentions
Complete the GraphLLM Graph Builderthe graph is built from a single6 mentions
Neo4j LLM Graph BuilderLLM Graph Builderthis lesson, you will use the LLM Graph Builder to construct a simple knowledge27 mentions
Create your Knowledge GraphExploring your knowledge graphOpen the [Neo4j LLM Graph2 mentions
Knowledge Graph Use CasesKnowledge graphsthis lesson, you will explore the use cases of knowledge graphs8 mentions
What is a Knowledge GraphKnowledge graphsgraphs provide a structured way to represent entities, their attributes, and their relationships, allowing for a comprehensive11 mentions

Graph Data Modeling Fundamentals140 mentions

RefactoringRefactoring the Graphis the process of changing the data model and the graph5 mentions
Enforcing Data ModelsTesting the Modelonly proves the model works when the right data is in the graph17 mentions
Adding the Actor LabelRefactoring the Graphis the refactored instance model we will create in the graph where we add an Actor label to some of the Person5 mentions
What is Graph Data Modeling?Getting Startedyou use a Neo4j graph to support part or all of your application, you must collaboratively work with your stakeholders to design a graph that11 mentions
Adding the Director LabelRefactoring the Grapha previous Challenge, you added the Actor label to the nodes in the graph3 mentions
TestingTesting the Modelhave also populated the graph to implement the data model with a small set of test11 mentions

Neo4j Fundamentals66 mentions

Graphs Are EverywhereGraph Thinkingdatabases originate from graph theory, a concept created in 1730's21 mentions
What is Neo4j?Graph Thinkingis a graph database that stores data as nodes and14 mentions

Cypher Indexes and Constraints133 mentions

Dropping ConstraintsUsing Constraints in Neo4jlonger want these restrictions in our graph2 mentions

Using Neo4j with LangChain36 mentions

Neo4j integrationNeo4j and LangChainallows developers to build advanced AI applications that can reason over graph data, generate Cypher queries, and provide context-aware7 mentions

Cypher Fundamentals45 mentions

Deleting EmilWriting Data to Neo4jtask is to write the code to delete his node in the graph2 mentions

Aura Graph Analytics fundamentals55 mentions

Implicit sessionsAura Graph Analytics in the Aura Workspacecan verify this by checking the Graph Analytics tab in your11 mentions

Graph Type Schema Enforcement56 mentions

Define Node TypesSchema Enforcement with Graph Typesthe previous lesson, you learned how graph types enforce schema rules on your2 mentions
Extend the Graph TypeSchema Enforcement with Graph Typesthe previous lesson, you learned how graph types express property constraints, the difference between SET and ADD, and how to define relationship element1 mention

Path Finding with GDS21 mentions

Challenge: Dijkstra's Source-Target Shortest PathUsing the Graph Data Science libraryCreate a Projected Graph5 mentions

Neo4j and Generative AI Workshop86 mentions

What is a Knowledge GraphGenerative AIgraphs provide a structured way to represent entities, their attributes, and their relationships, allowing for a comprehensive14 mentions

Neo4j & GenerativeAI Fundamentals68 mentions

What is a Knowledge GraphKnowledge Graphsgraphs provide a structured way to represent entities, their attributes, and their relationships, allowing for a comprehensive12 mentions
Creating Knowledge GraphsKnowledge Graphssuch as text documents, web pages, or PDFs, can be a rich source for knowledge graphs13 mentions
GraphRAGRetrieval Augmented Generation (RAG)GraphRAG (Graph Retrieval Augmented Generation) is an approach that uses the strengths of graph databases to provide relevant and21 mentions

Neo4j Management, Optimization, and Refactoring Workshop43 mentions

Challenge: Refactor the graphGraph refactoringIdentify an opportunity to refactor the graph by adding a new label, creating indirect relationships, or normalizing properties to4 mentions

Introduction to Graph Databases Workshop30 mentions

What is Neo4j?Graph DatabasesNeo4j is a graph database that stores data in a13 mentions
Create a GraphGraph Databasesgraphs provide a structured way to represent entities, their attributes, and their relationships, allowing for a comprehensive3 mentions

Zero to Production Hands-On Workshop52 mentions

What is Neo4j?Graph DatabasesNeo4j is a graph database that stores data in a13 mentions

Introduction to Vector Indexes and Unstructured Data51 mentions

Turning data into knowledgeImporting unstructured dataDuring this course, you have learned how you can use Neo4j to turn knowledge into data, the first step in creating a knowledge graph. Knowledge graphs are a powerful way to represent and query complex interconnected4 mentions
Expand the GraphImporting unstructured datathis optional challenge, you can extend the graph with additional6 mentions

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