The insideBIGDATA IMPACT 50 List for Q1 2022
By insideBIGDATA - January 10, 2022
Explore: AI / Machine Learning • award • Big Data • data science • deep learning • IMPACT 50 List • Industry Leader
The insideBIGDATA IMPACT 50 List for Q3 2021
By insideBIGDATA - July 14, 2021
Explore: AI / Machine Learning • award • data science • deep learning • graph data platform • graph technology • Impact
This Week in Neo4j: Batch vs. Stream, UX Survey, Kafka Example, Jupyter/Docker for Data Science, Deep Learning
By Elaine Rosenberg
May 22, 2021 4 mins read
Hello, everyone! We at Neo4j are working to continually improve the UX experience for our users. If you have the time, please consider meeting with us to discuss your experience with our products and what you would like to see… Read more →
Explore: batch • confluent • data ingestion • data science • deep learning • docker • graph • GraphXR • JHipster • Jupyter
The insideBIGDATA IMPACT 50 List for Q4 2020
By insideBIGDATA - October 13, 2020
Explore: AI / Machine Learning • Big Data • data science • deep learning • graph database • graph technology
DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 12 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
AI and Graph Technology: 4 Ways Graphs Add Context
By David Penick
July 29, 2019 5 mins read
Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.
Explore: ai • AI explainability • artificial intelligence • deep learning • graph algorithms • graph database • Graph Databases • graph technology • knowledge graphs • machine learning
Think About What You’re Building: 5-Minute Interview with Stephen O’Grady
By Jocelyn Hoppa
May 17, 2019 3 mins read
Check out this 5-minute interview with Stephen O’Grady, Co-Found of Redmonk, on how developers should consider the broader implications of what they build.
Explore: 5-minute interview • artificial intelligence • deep learning • graph database • graph technology • Hillary Mason • IoT • machine learning • neo4j • Stephen O'Grady
This Week in Neo4j – Deep Learning on Graphs, Go Driver Released, Improved Azure Cloud support
By Mark Needham
November 17, 2018 5 mins read
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week we had an exciting presentation by Andrew Jefferson about Deep Learning on Graphs as part… Read more →
Explore: Azure marketplace • decision trees • deep learning • FOSDEM • Golang • graph algorithms • lightning network • twin4j
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
Deep Learning Sentiment Analysis for Movie Reviews using Neo4j
By Bryce Merkl Sasaki
September 18, 2014 4 mins read
This post was originally published on Kenny Bastani’s blog. Sentiment analysis uses natural language processing to extract features of a text that relate to subjective information found in source materials. Movie Review Sentiment Analysis A movie review website allows users… Read more →
Explore: deep learning • Kenny Bastani • movie review • natural language processing • neo4j • nlp • sentiment analysis