156 citations · 650 across the 32 of their papers we have counts for
36 papers
IMPPAT 3.0: An updated FAIR database of phytochemicals and formulations of Indian Medicinal plants
Shanmuga Priya Baskaran, Ajaya Kumar Sahoo, Priyotosh Sil +6
Ayurvedic formulations represent a rich source of traditional knowledge, encompassing distinct therapeutic approaches, medicinal ingredients, and underlying principles of drug acti…
Computational investigation of single herbal drugs in Ayurveda for diabetes and obesity using knowledge graph and network pharmacology
Priyotosh Sil, Rahul Tiwari, Vasavi Garisetti +4
Metabolic diseases such as type 2 diabetes and obesity represent a rapidly escalating global health burden, yet current therapeutic strategies largely target isolated symptoms or s…
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…
Bakry-Émery-Ricci curvature: An alternative network geometry measure in the expanding toolbox of graph Ricci curvatures
Madhumita Mondal, Areejit Samal, Florentin Münch +1
The characterization of complex networks with tools originating in geometry, for instance through the statistics of so-called Ricci curvatures, is a well established tool of networ…
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…
Network-centric indicators for fragility in global financial indices
Areejit Samal, Sunil Kumar, Yasharth Yadav +1
Over the last two decades, financial systems have been studied and analysed from the perspective of complex networks, where the nodes and edges in the network represent the various…