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个人简介
Dr. Soundarajan’s research focuses on the structure of social and other real-world networks. She is interested in a variety of problems related to social network analysis, including community detection, link prediction, and network similarity. She is currently studying how communities change over time and, in particular, the structural factors that influence a community’s evolution. She is also interested in developing methods to obtain accurate samples of large network.
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论文共 86 篇作者统计合作学者相似作者
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MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT IV (2023): 420-435
PROCEEDINGS OF THE 15TH ACM WEB SCIENCE CONFERENCE, WEBSCI 2023pp.219-228, (2023)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT III (2023): 293-308
Shwetha Koushik Manchinahalli Srikanta, Katie L. Pierce, Joshua Introne,Chilukuri K. Mohan,Sucheta Soundarajan
International Conference on Advances in Social Networks Analysis and Miningpp.514-521, (2023)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT III (2023): 259-276
23RD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, ICDM 2023pp.1529-1534, (2023)
Journal of the Royal Society, Interfaceno. 198 (2023): 20220555
Intelligent Computing (2022): 787-799
IEEE Transactions on Computersno. 5 (2022): 1-12
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