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  • Graph Technology

NODES2022 – Keyword Disambiguation Using Transformers and Clustering to Build Cleaner Knowledge

Federica Ventruto and Alessia Melania Lonoce are Junior Data Scientists at GraphAware who spoke at NODES2022. Natural language processing is an indispensable toolkit to build knowledge graphs from unstructured data. …
  • Videos
  • Graph Technology

NODES2022 – Neo4j With Docker and Docker Compose Deep Dive

Christophe Willemsen, CTO at GraphAware, spoke on NODES2022 about using Neo4j with Docker and Docker Compose, presented tips and tricks on basic usage, gave an explanation of the Docker image …
  • Videos
  • Graph Technology
  • GraphAware Hume

NODES2022 – Temporal Graph Analysis

Fabio Montagna is Lead Machine Learning Engineer at GraphAware and presented Temporal Graph Analysis at NODES2022. In this session, we’ll share our experience with horizon scanning over a graph of …
  • Videos
  • GraphAware Hume

Enterprise data integration to Neo4j with GraphAware Hume

Dive deeper into Hume Orchestra, our data-driven orchestration tool, with our CTO, Christophe Willemsen.
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  • GraphAware Hume
  • Law Enforcement

Tracking Data Sources of Fused Entities in Law Enforcement Graphs

Graphs are commonplace in investigative, intelligence, and law enforcement work. One of the primary advantages of a graph is to connect data from various data sources, digital and human, and …
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  • Graph Technology

Graph-Powered Machine Learning Q&A

An introduction to Graph-Powered Machine Learning written by our very own Dr. Alessandro Negro. This book is an extraction of 60 combined years of experience in graphs, and explains how …