This Week in Neo4j: Algorithms, GraphQL, Knowledge Graph Book, GraphStuff.FM Podcast, and More
Blog post from Neo4j
This week's newsletter highlights various topics in graph data science and related technologies. Alison Cossette shares her expertise on graph algorithms, including community detection, pathfinding, and graph sampling, with working code samples available for experimentation. Meanwhile, angrykoala provides tips on improving the performance of a Node.js GraphQL server using tools like @neo4j/graphql 3.19. Additionally, there's a live stream on Graph-Based Linguistics by Maria Di Maro, who explores the potential of graphs in extracting intricate information from text data. The newsletter also features a book review, podcast, and tweet of the week, as well as upcoming events and featured nodes speaker Donovan Bergin, an expert software engineer working with graphs at JB Hunt.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.