Videos

Speaker Panel with guests from NODES 2022 to discuss about their upcoming sessions as well as Graphs and Neo4j in General. 0:00 Intro 4:30 Estelle Scifo 6:50 Dekel Paz 9:20 Owen Brierley 16:30 Sixing Huang 19:18 Building a Neo4j/Python OGM 23:05 BlueHound: Community-Driven Security Based on Neo4j and NeoDash 30:15 Doctor.ai: A Graph-Based Medical Chatbot 37:00 Towards Real-time Knowledge Graphs for Non-Player Characters in Games 46:20 Panel Guests: – Estelle Scifo Building a Neo4j/Python OGM Leverage Cypher map projections and Python dynamic typing to build an Object Graph Mapper for Neo4j. In this step-by-step session, you’ll learn how to get started on such a project, from defining the framework API to automatically building Cypher queries. Tweets by st3llasia – Sixing Huang Doctor.ai: A Graph-Based Medical Chatbot Knowledge graphs are prevalent, especially in medicine and healthcare – but so far, only experts can operate them. A natural language chatbot can change that. We have developed a cloud-native medical chatbot called Doctor.ai, backed by a Neo4j graph. Tweets by dgg32 https://medium.com/@dgg32 – Owen Brierley Towards Real-time Knowledge Graphs for Non-Player Characters in Games This demonstration will show how game design researchers have implemented the use of Neo4j as a tool for creating long-term memory and knowledge for non-player characters, player performance recording, and other applications. Tweets by Owen_Brierley http://www.obicorp.online/journal – Dekel Paz BlueHound: Community-Driven Security Based on Neo4j and NeoDash BlueHound is a new open-source cybersecurity tool originally inspired by and forked from NeoDash, Neo4j’s dashboard builder, which helps create visualizations for graph data. Tweets by dekel_paz Register for NODES: https://r.neo4j.com/nodes-2022 #neo4j #graphdatabase