Graph Data Science Use Cases: Entity Resolution
By Angela Zimmerman
February 14, 2022 6 mins read
Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.
Explore: cypher • entity resolution • GDS • GDS library • graph data science • graph data science library • graph database • link prediction
You Don’t Need a Crystal Ball When You Have Graph Data Science
By Angela Zimmerman
November 12, 2021 3 mins read
Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain… Read more →
Explore: AI/ML • Connected Data • data science • GDS • graph data science • link prediction • machine learning • webinar • webinar spotlight
What’s New with Graph Data Science: GDS 1.7 Release
By Angela Zimmerman
September 23, 2021 5 mins read
At this point, we’re all back from our summer holidays – whether we want to be or not. One consolation prize, though, is that the team at Neo4j spent our summer putting together another fabulous update to the Graph Data… Read more →
Explore: Connected Data • data science • GDS • graph data science • graph database • link prediction • machine learning
This Week in Neo4j – Creating Charts from your Graphs, Neo4j 4.0 Certification exam, Working with a Multilingual Thesaurus
By Mark Needham
December 5, 2020 3 mins read
Hi graphistas, This week’s video is from a new series about Spring Data Neo4j by Gerrit Meier. Adam Cowley announced the launch of Charts, we launched the new Neo4j 4.0 certification, and Hantsy concludes the Spring Data Neo4j series by… Read more →
Explore: APOC • causal cluster • link prediction • Linkurious • spring data neo4j • twin4j
Updated GraphAcademy Course: Using a Machine Learning Workflow for Link Prediction
By Jocelyn Hoppa
November 25, 2020 2 mins read
Discover what to expect from the updated GraphAcademy course: Using a Machine Learning Workflow for Link Prediction.
Explore: Data Scientist • graph algorithms • graph data science • GraphAcademy • link prediction • machine learning
Upgrade Your Graph Data Science Library Now (or Miss Out on Cool New Features)
By Jocelyn Hoppa
July 14, 2020 5 mins read
Learn about the newest features in Neo4j Graph Data Science library 1.3 released, and discover why you need to upgrade from the old algorithm library.
Explore: centrality algorithms • community detection algorithm • data science • GDS library • graph algorithms • graph data science • graph embeddings • link prediction • multi-database • pathfinding algorithms
Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019 < 1 min read
Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.
Explore: ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar
This Week in Neo4j – Graph Apps Gallery Launched, Loading Bitcoin in one day, Link Prediction on Citation Network
By Mark Needham
April 6, 2019 5 mins read
The exciting news this week is that we launched the Graph Apps Gallery – a one stop shop where you can find all your favourite Graph Apps and discover new ones. Jennifer Reif wrapped up her series of posts on… Read more →
Explore: Bitcoin • Brexit • data science • graph algorithms • Graph App • graph database • graph technology • link prediction • Marvel Universe • Neo4j Desktop
This Week in Neo4j – Revamped Neo4j Administration Course Training Course, Announcing Neo4j Labs, Link Prediction with Neo4j
By Mark Needham
March 23, 2019 4 mins read
It’s been another busy week. This Neo4j community has had another busy week. We launched Neo4j Administration course, Amy Hodler and I shared our research into the world of link prediction, and David Allen showed us how to implement log… Read more →
Explore: link prediction • Marvel Universe • Neo4j Labs • Online Training • twin4j • Uber H3 • ZenDesk
This Week in Neo4j – Link Prediction with Neo4j, Graphs for healthcare search, XRP graph, Querying Neo4j Clusters
By Mark Needham
March 9, 2019 5 mins read
This week was a bumper one for content in the Neo4j community. We go into the world of blockchain with an online meetup on XRP and a blog post showing how to import bitcoin into Neo4j in less than 24… Read more →
Explore: Bitcoin • Causal Clustering • full-text search • graph modeling • link prediction • PageRank • twin4j • XRP
Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]
By Bryce Merkl Sasaki
February 22, 2018 7 mins read
Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →
Explore: computational biology • computational social science • Connected Data • deep learning • ICON dataset • link prediction • machine learning • Netflix Prize • Network Science • Network Visualization