The representation of numbers in graphs should be proportional to the numbers themselves. Otherwise, they mislead or deceive. Examples of misleading graphs not drawn to scale and a figure with ...

Graphs naturally generalize unstructured vectorial data and structured data such as time series, images or bags of entities. The goal of this course is to provide an overview of the fundamental ...

Graph databases open up views of interconnected data to help users discover and analyze relationships between datapoints, be it in customer transactions or internal operations. Knowledge graphs ...

Knowledge graphs are real. They have been for the last 20 years at least. Knowledge graphs, in their original definition and incarnation, have been about knowledge representation and reasoning.

High dimension, low sample size data are emerging in various areas of science. We find a common structure underlying many such data sets by using a non-standard type of asymptotics: the dimension ...

In recent years, knowledge graphs have become an important tool for organizing and accessing large volumes of enterprise data in diverse industries — from healthcare to industrial, to banking ...

U.S. universities have a lot of catching up to do so that Black STEM students are represented at levels consistent with their representation in the U.S. population. This Cornell student attended a ...