6 citations · 6 across the 3 of their papers we have counts for
3 papers
Application of discrete Ricci curvature in pruning randomly wired neural networks: A case study with chest x-ray classification of COVID-19
Pavithra Elumalai, Sudharsan Vijayaraghavan, Madhumita Mondal +1
Randomly Wired Neural Networks (RWNNs) serve as a valuable testbed for investigating the impact of network topology in deep learning by capturing how different connectivity pattern…
Investigation of Indian stock markets using topological data analysis and geometry-inspired network measures
Saumitra Kulkarni, Hirdesh K. Pharasi, Sudharsan Vijayaraghavan +3
Geometry-inspired measures (such as discrete Ricci curvatures) and topological data analysis (TDA) based methods (such as persistent homology) have become attractive tools for char…
Forman-Ricci curvature and Persistent homology of unweighted complex networks
Indrava Roy, Sudharsan Vijayaraghavan, Sarath Jyotsna Ramaia +1
We present the application of topological data analysis (TDA) to study unweighted complex networks via their persistent homology. By endowing appropriate weights that capture the i…