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Graph-Powered Machine Learning
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  • Graph Technology

Graph-Powered Machine Learning

Graph-based machine learning is a trend in Artificial Intelligence that is gaining popularity due to its many advantages. When using graphs as a basic representation of data for ML purposes, …

Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa
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  • Graph Technology

Knowledge Graphs and Chatbots with Neo4j and Amazon Alexa

Knowledge Graphs are becoming the de-facto solution for managing complex aggregated knowledge, and Neo4j is the leading platform for storing and querying connected data. In this talk, Christophe will describe …

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Knowledge Graphs and Chatbots with Neo4j and IBM Watson

In this talk, Christophe will describe a graph-centric cognitive computing pipeline and detail the process from the ingestion of unstructured text up to the generation of a knowledge graph, queryable …

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Neo4j Online Meetup #30: Spring Data Neo4j 5 and OGM3

SDN is a Spring Data project for Neo4j. It uses Neo4j-OGM under the hood (very much like Spring Data JPA uses JPA) and provides functionality known from the Spring Data …

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Knowledge Graph Search with Elasticsearch — Luanne Misquitta and Alessandro Negro, GraphAware

In this talk, Luanne will share insights about the business value of knowledge graphs and their contribution to relevant search in an e-commerce domain for a Neo4j customer. With text …

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Machine Learning Powered by Graphs

Speaker: Dr. Alessandro Negro, Chief Scientist at GraphAware. September 20th 2017 at Westin Hotel, Abu Dhabi UAE.