Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019|Reading time: 1 minute
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|Reading time: 4 minutes
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 • twin4j
This Week in Neo4j – Revamped Neo4j Administration Course Training Course, Announcing Neo4j Labs, Link Prediction with Neo4j
By Mark Needham
March 23, 2019|Reading time: 4 minutes
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|Reading time: 4 minutes
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|Reading time: 6 minutes
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