The field of network visualization and graph analysis has emerged as a crucial interdisciplinary area, merging advanced computational algorithms with sophisticated visual representation techniques.

Even when you are trying to understand what you think is a simple set of data, the challenge of making sense out of it can be daunting unless you can visualize it. But how to visualize it? Sure, you ...

Visualizing data is a task no longer strictly resigned for data journalists — it has become an indispensable skill for all reporters. Graphs and charts have been especially critical in coverage of the ...

NEW YORK and PARIS, June 21, 2024 — CAST, a global leader in software intelligence, announced a strategic research collaboration with the Laboratoire d’InfoRmatique en Image et Systèmes d’information ...

At the core of digital transformation lies data democratization, the practice of making data accessible throughout all departments of a business, not simply the C-suite and IT team. Datasets are ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

DPABINet, a sophisticated enhancement of the DPABI software suite, streamlines the intricate analysis of brain networks through fMRI data, providing researchers of all expertise levels with ...

The enterprise knowledge graph is a knowledge representation system based on graph structures. It integrates multi-source data from both internal and external sources (such as business information, ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...