3 papers
stat.ML2026
Learning Random Geometric Graphs Drawn in Probabilistic Metric Spaces
Dalia Chakrabarty, Kangrui Wang, Chuqiao Zhang +1
We present a new data-driven learning of a Random Geometric Graph (RGG) of a multivariate dataset, where the graph is drawn in a probabilistic metric space. This graph learning wor…
q-bio.BM2025
Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs
Chuqiao Zhang, Sarath Chandra Dantu, Debarghya Mitra +1
Identification of critical residues of a protein is actively pursued, since such residues are essential for protein function. We present three ways of recognising critical residues…
stat.ML2024
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs
Chuqiao Zhang, Crina Grosan, Dalia Chakrabarty
Patients who are undergoing physical rehabilitation, benefit from feedback that follows from reliable assessment of their cumulative performance attained at a given time. In this p…