Videos from NODES 2020

NODES 2020 Keynote — The Next Decade of Graphs

1. Unlock Cyber Security with Knowledge Graphs

2. Scalable, reactive product development framework for the automotive industry

3. Using Neo4J for contact tracing in the Philippines

4. Using Cypher to Extend a Graph-Based Documentation

5. Neo4j Security in Action

6. Project Domino: Fighting COVID Misinformation at Scale with Citizen Data Science

7. The Graph Database Workshop That Changed An Industry

8. RDBMS & SQL to Neo4j & Cypher: Transitioning to the Right Technology for your Data

9. Modeling Healthy Communication in Neo4j

10. Finding Brazilian Company Groups in a Large Graph

11. We Save Lives! Using Neo4j to find a bone marrow donor

12. Neo4j: A Taxonomy-Based Approach on Compliance Risk Management

13. Power & Emergent Org Structures

14. Stopping Money Laundering with Graph Analytics

15. Bespoke Visualization Tools for Complex Data

16. Building a Graph Visualization with PIXI.js

17. Scrape From Multiple Sources Easily for Better Visualizations

18. Automating the Neo4j Pipeline for Data Shaping and Visualization with Power BI

19. 10+ Entity States in Graph Visualisation And How To Make The Best Of Them

20. Visualising all Drupal.org Data in Neo4j

21. Getting Graph Questions Answered through Neo4j Bloom

23. Network Like an Egghead: Analytics and Visualization on LinkedIn

24. Not All Visualizations are Created Equal

25. Graph Provisioning and Data Enrichment on Election 2020 Twitter Data

26. Knowledge Graphs Powered by NLP and Network Science

27. NLP and Graphs Go Hand in Hand

30. QKnows Knowledge Graph

31. Representing and Managing Consent for Data Sharing with Knowledge Graphs

32. A Survey As A Graph

33. Extending a Knowledge Graph from Wikidata

34. Using Software Agents for Querying Knowledge Graph

35. Best Practices and Fundamentals of Innovation when Prototyping using Graph Databases and Neo4j

36. Build a Knowledge Graph using NLP and Ontologies

37. Developing a Knowledge Graph of your Knowledge, Skills, Abilities, Tasks and Training (KSATT)

38. Mastering Enterprise Metadata with Neo4j

39. Malt Aware: Discovering What to Drink with Neo4j

40. Low latency Kafka to Neo4j data streaming on Google Cloud

41. Halal detection Using Graph Algorithm

42. Artificial Intelligence: To Trust or Not To Trust?

43. Molecules are Graphs! Graph Data Science for Drug Discovery

44. Graph Database as Catalyzer from Machine Learning in Pharma

45. Beyond the (Wine) Blend: Using graph Structures to Fill the Blanks

46. Write Your Own Algorithms Using the Pregel API

47. Graph Native Learning: Introducing GraphSAGE and model catalogs in Neo4j

48. Leveraging Dimensionality for Graph-Based Recommendations with Sparse Data

49. Doom, Kafka and Neo4j – Building a (Near) Real-Time Telemetry Graph

50. From Local Strategies to Global Patterns

51. Project Hades | Event Management to the Masses

52. Transforming a REST Service to a Graph Service

53. From RDBMS TO Neo4j: Tips and Tricks

54. Post-Union Processing with Cypher

55. IOT Data Compression in Neo4j

56. Which Comes First – The Data Model or the Algorithm?

57. Low-Code Development with Graphs – Taking Application Development to a New Level

58. Quarkus on Neo4J: Real-World Experiences & Live-Coding

59. Lightning Fast Zero to Production with Spring, Neo4j and jHipster

60. Developing Applications with Neo4j Aura on Google Cloud

61. Enterprise 360 – Graphs at the Center of the Data Fabric

62. A Humane Presentation about Graph Database Internals

63. Site Reliability Engineering at Neo4j Aura

64. Cypher Deep Dive: From Query String to Result

65. Tips and Tricks for Running Neo4j Clusters with Large Stores

66. Building Spatial Search Algorithms for Neo4j

67. Low Code GraphQL APIs with Neo4j

68. Create a Graph Data Pipeline With Apache Spark and Neo4j

69. Relate Framework – How Neo4j builds Neo4j Developer Tools

70. Sharding Graphs with Neo4j

71. Cypher Workbench: Development Tool Suite for Cypher

72. Parallel Data Import into a Running Database

22. Anomalies, Inconsistencies and Fraudulent Behaviour – Data Mining with Neo4j and GRANDstack