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

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