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Graph Clustering: A Theoretical Perspective

Implementing Organization

Principal Investigator
Dr. Aritra Banik
National Institute Of Science Education And Research (NISER), Bhubaneswar, Odisha

Project Overview

This proposal focuses on the graph clustering problem, a crucial step in large-scale data processing. It aims to study data represented as graphs, mainly from web and social network graphs. The main goal is to divide the graph into subgraphs that satisfy certain graph-theoretic properties, such as sparseness, perfect matching, and q-colorability. The proposal aims to explore properties such as shallow minor freeness, perfect matching, and q-colorability. The project aims to start a new direction in graph clustering research by examining the properties of each subgraph, aiming to improve the efficiency of data processing.

Source

Source
Science and Engineering Research Board (SERB), DST 2022-23
Funding Organization
Quick Information
Area of Research
Mathematical Sciences
Start Date
2023
End Date
2026
Status
Ongoing
Contact
aritrabanik@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
Publications
00
No. of Patents
Filed : 00
Grant : 00
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