ResearchMy primary interests lie in the fields of network science, machine learning, and data science. Much of my research is about discovering meaningful patterns, information by developing efficient algorithms for analyzing large networks.
Community Detection using Semilocal Topological Features and Label Propagation Algorithm
Deepanshu Malhotra, Ralucca Gera, and Akrati Saxena International Conference on Computational Data and Social Networks (CSoNet), 2021 [Paper] 
A modified label propagation algorithm for community detection in attributed networks
Deepanshu Malhotra, Anuradha Chug International Journal of Information Management Data Insights, Elsevier. August. 2021 [Paper] 
Supervised-learning link prediction in single layer and multiplex networks
Deepanshu Malhotra, Rinkaj Goyal Machine Learning with Applications, Elsevier. June. 2021 [Paper] 
Community Detection in Complex Networks Using Link Strength-Based Hybrid Genetic Algorithm
Deepanshu Malhotra SN Computer Science, Springer. Nov. 2020 [Paper] 
Link prediction in complex networks using information-theoretic measures
Deepanshu Malhotra, Rinkaj Goyal Journal of Complex Networks, Oxford University Press. Nov. 2020 [Paper]
A Survey of Different Methods in Finding Latent Relationships among Complex Networks
Deepanshu Malhotra, Rahul Katarya International Conference on Information Systems and Computer Networks (ISCON), 2019 [Paper]
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