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?
Fields of mathematics
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
WRITTEN BY Written Tomaz Bratanic While I was waiting for my sourdough to rise, I thought, the best way to spend my time is to… Read More »Community detection of the countries of the world with Neo4j Graph Data Science
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
With the development of a new generation of information technology, such as big data and cognitive intelligence, we are in the postmodern era of artificial… Read More »KnowIME: A System to Construct a KnowledgeGraph for Intelligent Manufacturing Equipment
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?
This full course provides a complete introduction to Graph Theory algorithms in computer science. Knowledge of how to create and design excellent algorithms is an… Read More »Graph Theory Tutorial – Algorithms Course
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