graph data science
Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it.
Also written: GDS
Lessons that use this term
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64 lessons use this term. The 40 with the highest term density are listed here.
Get started with Graph Data Science150 mentions
- GDS orientationGet started with the Graph Data Science libraryGraph data science can refer to both the discipline 'graph data science', and 'Graph Data Science' or 'GDS', the Neo4j23 mentions
- Module recap and what's nextGDS basic conceptsnow understand the fundamentals of Graph Data Science7 mentions
- Module recapEssential projection techniquesnow understand how to work with GDS algorithms at a fundamental13 mentions
- Module recap and what's nextWorking with algorithmsnow understand how to work with GDS algorithms at a fundamental9 mentions
- Use GDS utility functionsWorking with algorithmsto understand what this function does and why it's essential for working with GDS12 mentions
- Set up your GDS environmentGet started with the Graph Data Science librarysandbox is a free, cloud-based Neo4j instance that comes pre-loaded with the Graph Data Science library and the9 mentions
- Understand the GDS workflowGDS basic conceptsGDS analysis follows the same basic two or three-step13 mentions
- Understand GDS documentationWorking with algorithmsit's time to learn how to read GDS documentation so you can understand any algorithm on your9 mentions
- Projecting bipartite and multipartite graphsGDS basic conceptsthe previous lessons, you learned that GDS creates unlabelled projections by default—preserving graph structure but stripping away node labels and relationship8 mentions
- Projecting monopartite graphsGDS basic conceptsBut GDS has stripped away the labels, so it no longer knows which nodes are Actors and which are7 mentions
- List and drop graphsGDS basic conceptsprojection gets stored in GDS's graph catalog—an in-memory store of all your projected6 mentions
- Understanding graph data scienceGet started with the Graph Data Science librarythat you understand what graph data science is, let's explore what makes it different from traditional data science6 mentions
- Practice bipartite projectionsGDS basic conceptsnon-overlapping sets with connections only between them) Labels = what GDS knows about node4 mentions
- Configure your algorithmsWorking with algorithmsGDS algorithm comes with configuration options that control how it3 mentions
- Challenge: Aggregated projection and analysisEssential projection techniquesGDS documentation1 mention
- Understand the five execution modesWorking with algorithmsModule 2, you've been running GDS algorithms using different7 mentions
- Algorithms overviewWorking with algorithmsthe previous module, you already ran several GDS algorithms: degree centrality and PageRank on monopartite graphs, and node similarity on bipartite6 mentions
- Project a graphGDS basic conceptsthe previous lesson, you learned the three-step GDS workflow: Project → Run →2 mentions
Analyze Graph Data with Python46 mentions
- Workshop Complete!Aura Graph Analyticscompleted the GDS Python Client & Aura Graph Analytics12 mentions
- Introduction to Aura Graph AnalyticsAura Graph AnalyticsAura Graph Analytics is Neo4j's on-demand cloud environment for running Graph Data Science12 mentions
- Introduction to the Python GDS ClientGDS Python ClientMaybe you've completed the Graph Data Science in Practice8 mentions
- GDS Workflows in PythonGDS Python ClientWhether you're working in the Browser or in Python, GDS workflows follow the same fundamental5 mentions
- Citation NetworksGDS Python ClientYou've learned the Python GDS workflow using the Movies2 mentions
Graph Data Science in Practice60 mentions
- What is Graph Data Science?GDS FoundationsGraph data science can refer to both the discipline 'graph data science', and 'Graph Data Science' or 'GDS', the Neo4j24 mentions
- Workshop Complete!Community Detection for Fraudcompleted the Graph Data Science in Practice11 mentions
- The GDS WorkflowGDS FoundationsEvery GDS analysis follows the same basic pattern: Project -> Run ->8 mentions
- Algorithm CategoriesGDS Foundationsprovides dozens of algorithms across five2 mentions
- Set up your environmentGDS Foundationssandbox is a free, cloud-based Neo4j instance that comes pre-loaded with the Graph Data Science library and the movies and fraud dataset used throughout this1 mention
- Graph Projections and StructureGDS FoundationsDistinguish between graph structure and node labels in GDS Identify monopartite, bipartite, multipartite, and heterogeneous graph structures Choose appropriate projection5 mentions
- Execution Modes and ConfigurationGDS FoundationsEvery GDS algorithm supports five execution2 mentions
Path Finding with GDS12 mentions
- Set up your environmentWhy Graphs?sandbox is a free, cloud-based Neo4j instance that comes pre-loaded with the Graph Data Science library and an airport routes4 mentions
- Weighted Shortest PathsUsing the Graph Data Science libraryuse the weighted shortest path algorithms built into the Neo4j Graph Data Science library, you will first need to create a graph projection in memory using the8 mentions
Aura Graph Analytics fundamentals10 mentions
- Add to an AuraDB instanceUnderstanding Aura Graph Analyticsa Professional plan, you can opt in to the classic GDS plugin4 mentions
- Aura Graph Analytics workflowAura Graph Analytics in the Aura WorkspaceOnce the projection exists, you can run GDS algorithms as2 mentions
- Aura Graph Analytics overviewUnderstanding Aura Graph Analyticsruns the GDS algorithm catalog using its own resources — so you never have to plan for more resources than you2 mentions
AI on Your Lakehouse: Context Comes in Shapes, Not Queries12 mentions
- Build the Themes ToolSurface Themes - Communitiescase, we also include the neo4j-gds-skill as Leiden is a Graph Data Science (GDS)5 mentions
- Patterns Nobody NamedSurface Themes - Communitiesuse Leiden, a Graph Data Science (GDS) algorithm that assigns each node a community ID so that4 mentions
Neo4j Administration Workshop2 mentions
- PluginsConfigure| Contents | |---|---| | labs/ | APOC Core | | products/ | Bloom, Graph Data Science, GenAI plugin2 mentions
Modeling and Importing Data into Neo4j Workshop1 mention
- CongratulationsBuilding Recommendations and ReviewGraphAcademy - Free courses on Cypher, graph data science, and more Neo4j Documentation - Complete reference for Cypher and Neo4j features [Neo4j1 mention
Developing with Neo4j MCP Tools2 mentions
- Installing the Neo4j MCP serverAgentic Systems and MCP| List Graph Data Science procedures available in the Neo4j2 mentions