This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning
By Elaine Rosenberg
May 15, 2021 3 mins read
Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Luc Michalski has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit. Dirk… Read more →
Explore: Analytics • application architecture • corporate knowledge • cypher • Cypher Query • Cypher query tuning • data modeling • fraud analysis • graph algorithms • graph embedding
Announcing: Graph-Native Machine Learning in Neo4j!
By Jocelyn Hoppa
October 21, 2020 6 mins read
Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.
Explore: Bloom • graph algorithms • graph data science • graph embedding • graph-native machine learning • GraphSAGE • Knowledge Graph • ML predictions
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
By Jocelyn Hoppa
February 8, 2019 4 mins read
“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →
Explore: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
This Week in Neo4j – Graph Modeling Tips, Full-Text Search Preview, Building a Graph App
By Mark Needham
November 10, 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. I found some excellent material including graph modeling tips from Max and Michael Simons, computing graph embeddings,… Read more →
Explore: graph embedding • graphileon • neo4j • nlp • Tableau Data Extract • twin4j
This Week in Neo4j – DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global Power Emissions Database
By Mark Needham
October 27, 2018 4 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global… Read more →
Explore: agent smith • apache spark • apache spark graphx • deepgl • Global Power Emissions Database • graph embedding • GraphConnect 2018 • Kubernetes • twin4j