configurable graph summarization 1graph reconstruction 1lossless and lossy compression 1neighborhood loss tolerance 1query support 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.DS2026
CGS: Configurable Graph Summarization with Bounded Neighborhood Loss and Query Support
Shubhadip Mitra, Sona Elza Simon, C Oswald +2
The paper introduces CGS, a configurable graph summarization framework that lets users choose lossless or lossy compression with a bounded neighborhood loss tolerance, while still…
eess.IV2026
Lossy Image Compression -- A Frequent Sequence Mining perspective employing efficient Clustering
Avinash Kadimisetty, Oswald C, Sivaselvan B +1
This work explores the scope of Frequent Sequence Mining in the domain of Lossy Image Compression. The proposed work is based on the idea of clustering pixels and using the cluster…