With online learning becoming the norm, many teachers in the U.S. use an instructional content platform called Newsela to assign reading to their students. The platform delivers… Read More »Your Life Is A Graph, Look At It That Way
Analytics is generally used on unprocessed data (visual or numeric, structure, unstructured) to uncover some insights. However, graph analytics (or network analysis) specifically covers the… Read More »What Is Graph Analytics, and Why Is It Important?
There are many ways to define a knowledge graph. At its most basic, a knowledge graph is a large network that stores data on entities and on… Read More »How Knowledge Graphs Can Help Asset Managers In 2020
Find out from Jesús Barrasa, Global Director of Telecoms, why leading telecom players are using Neo4j in their next generation networks “Neo4j not only gives… Read More »Harnessing graphs at the heart of the telecoms industry
Neo4j’s Alicia Frame explains how life science researchers can exploit graph databases to get truly granular insight into big data to make major leaps forward… Read More »Graph Databases: The Key to Groundbreaking Medical Research
The quick and intelligent requests and answers in artificial intelligence (AI) are inseparable from intelligent data. Knowledge graph makes data more intelligent by establishing association… Read More »Artificial Intelligence Knowledge Graph forDynamic Networks: An IncrementalPartition Algorithm
Graph databases help with relationships — data relationships that is. Watch to learn more about what a graph database is and how it can be… Read More »What is a Graph Database? What is it Used For?
Interactive Graph Data Integration System With Spatial-Oriented Visualization and Feedback-Driven Provenance
This paper proposes new techniques in a visualization-enabled graph data quality assessment and alignment system leveraging feedback-driven provenance with goal of improving scalability, reducing execution… Read More »Interactive Graph Data Integration System With Spatial-Oriented Visualization and Feedback-Driven Provenance
Balanced graph partitioning (BGP) has a wide range of applications that involve many large-scale distributed data processing problems. However, most of the existing approaches to… Read More »Parallel Heuristics for Balanced Graph Partitioning Based on Richness of Implicit Knowledge