This Week in Neo4j – COVID-19 Contact Tracing, De-duplicating the BBC goodfood Graph, Stored Procedures in Neo4j 4.0, SARS-CoV-2 Taxonomy

The Neo4j community has been actively sharing knowledge and projects related to graph databases, with a focus on applications such as contact tracing during the COVID-19 pandemic. Various members have showcased their work, including de-duplicating ingredients in the BBC goodfood dataset using Cypher queries, building COVID-19 contact tracing graphs, exploring virus taxonomy, and demonstrating how stored procedures can be used in Neo4j 4.0. Additionally, there are updates on GORM for Neo4j, a Python wrapper to call procedures from the Graph Data Science Library, and a paper on using Neo4j for Open Linked Cultural Data. The community has also recognized Thomas Deely as a featured member, who organized the Knowledge Graph Conference and brought together experts in various fields to work on projects related to the United Nations Sustainable Development Goals.