Hunting for insights into raw and bulky data is tedious and mentally exhausting. This is where business graphs and charts come into play. The visualization designs can help you distill business data ...

This repository contains the code for the WiDS lecture "Graph Theory for Data Science, Part III: Characterizing graphs in the real world": Many of the systems we study today can be represented as ...

Network (knowledge) graphs represent a collection of interlinked entities organized into contexts via linking and semantic metadata. They build a framework for data integration and analysis. Having ...

Graphs are powerful tools for communicating experimental results and insights in scientific papers. They can help you present complex data in a clear and concise way, highlight key patterns and trends ...

Abstract: Expander graphs are highly connected sparse finite graphs. The property of being an expander seems significant in many of these mathematical, computational ...

This paper presents a novel approach to bypass road network design using interval valued fuzzy outerplanar graphs (IVFOGs), addressing the increasing demands of vehicular growth and evolving ...

Attribution Graphs Explorer is a framework for mechanistic interpretability of transformer models based on circuit tracing methods. The toolkit allows researchers to: Extract computational circuits ...