Your English writing platform
Discover LudwigSuggestions(1)
Exact(6)
It is more descriptive and convenient to use in graph analysis than traditional algebra.
Densest subgraph problem is a major research topic in graph analysis.
To analyze such large-scale graph data efficiently, distributed graph engines have been developed and they are widely used in graph analysis field.
We first provide a brief description of fundamental steps and notations in graph analysis that will serve as glossary for the following sections.
Edge-betweenness is a common concept in graph analysis.
Thus, detecting important modules in PPI networks is a well-studied problem in graph analysis.
Similar(53)
This goal is achieved by a set of functions included as a built-in structural graph analysis library.
In framing graph analysis exercises in worksheet 5, we enhanced many of the ideas from Figure Facts (Round and Campbell, 2013) with the peer-to-peer presentations of the primary literature graphs and found this approach to be very effective.
Maximum weighted matchings represent a fundamental kernel in massive graph analysis and occur in a wide range of real-life applications.
Utilizing PNs, the PNSRL model can be validated using tokens in reachability graph analysis and can simulate system process workflow.
Generally, there are two main directions in quantitative graph analysis: (i) Comparing and (ii) characterizing networks.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com