102 Temporal Graph Analysis – NODES2022 – Fabio Montagna

21 Nov, 2022



In this session, we'll share our experience with horizon scanning over a graph of medical research papers.

By leveraging the author keywords from scientific publications, it's possible to build a cooccurrence graph with a temporal component provided by the paper publication date. We'll show how we can analyze trends and evolution patterns using an unsupervised algorithm that assigns roles to author keyword.

Speakers: Fabio Montagna
Format: Lighting Talk 10-15 min
Level: Beginner
Topics: #analytics #knowledgegraph #machinelearning #general #healthcare
Region: EMEA
Slides: https://dist.neo4j.com/nodes-20202-slides/102%20Temporal%20Graph%20Analysis%20-%20NODES2022%20EMEA%20Beginner%2013%20-%20Fabio%20Montagna.pdf

Visit https://development.neo4j.dev/nodes-2022 learn more at https://development.neo4j.dev/developer/get-started and engage at https://community.neo4j.com

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