side Priyesh V

Priyesh V

MS Scholar

Representation learning Semi-supervised learning

My research primarily evolves around learning efficient representations for entities in irregular domains. I use complex networks theory to design efficient (deep) machine learning models that can represent and make inferences on complex structured data.


Sep 5, 2020
Finding Influencers in Social Networks: Reinforcement Learning Shows the Way
Social Network Analysis has given us many tools to effectively manage information dissemination in a social group, study growth and dynamics in such groups, etc. But one of the key challenges when studying social groups of underprivileged or socially marginalized groups is the recovery of the underlying social network itself. This study proposes a machine learning approach for learning to effectively allocate a limited budget to discover the network.

5 min read