How to Build a Knowledge Graph from Scratch Even If You’re Not a Full-Blown Developer
By Enzo
May 26, 2021 10 mins read
Read this step-by-step guide to building a knowledge graph from scratch even if you’re not a full-blown developer.
Explore: cancer • cancer research • drug discovery • graph • Knowledge Graph • knowledge graphs • neo4j • nodes
20 NODES 2020 Talks You May Have Missed
By Enzo
December 31, 2020 3 mins read
Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.
Explore: covid-19 • cypher • drug discovery • Google Cloud • Graph Algorithm • Graph Analytics • graph data science • Graph Databases • graph-native learning • knowledge graphs
Connecting the Molecules: 5-Minute Interview with Matthew Sellwood
By David Penick
October 2, 2020 2 mins read
Check out this week’s 5-Minute Interview with Matthew Sellwood, Product Manager at IQVIA, about his research into molecular structure.
Explore: 5-minute interview • chemistry • drug discovery • graph data science • graph data science library • graph database
#GraphCast: Graphs Connecting COVID-19 Research
By Bryce Merkl Sasaki
June 19, 2020 2 mins read
Check out this week’s #GraphCast, featuring Alicia Frame being interviewed in TechRepublic on how Neo4j helps power drug discovery research for COVID-19.
Explore: Coronavirus • covid-19 • data science • drug discovery • GraphCast • Healthcare • Life Sciences • natural language processing • nlp • pharmaceutical
Are Graph Databases the Key Ingredient AI is Missing in Drug Discovery?
March 5, 2019
Explore: drug discovery • Graph Data
Connecting the Dots in Early Drug Discovery at Novartis
By Jocelyn Hoppa
June 20, 2018 20 mins read
Editor’s Note: This presentation was given by Stephan Reiling at GraphConnect San Francisco in October 2016. Presentation Summary In this talk, Senior Scientist Stephan Reiling describes some of the ways that a major pharmaceutical company conducts the search for medical… Read more →
Explore: association rule mining • Big Data • biological knowledge • biomedical research • drug discovery • graph technology • graphconnect • heterogeneous data • Novartis • PubMed
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