Protein interactions form a complex dynamic molecular system that shapes cell phenotype
and function; in this regard, network analysis is a powerful tool for studying the dynamics of …

This article introduces a new approach to discrete curvature based on the concept of
effective resistances. We propose a curvature on the nodes and links of a graph and present …

Melanoma response to immune-modulating therapy remains incompletely characterized at
the molecular level. In this study, we assess melanoma immunotherapy response using a …

Geometric deep learning has demonstrated a great potential in non-Euclidean data
analysis. The incorporation of geometric insights into learning architecture is vital to its …

Cellular biological networks represent the molecular interactions that shape function of living
cells. Uncovering the organization of a biological network requires efficient and accurate …

The main subject of this thesis is the effective resistance—a measure of distance between
the nodes of a graph which reflects how close or well-connected two nodes are, taking into …

This book introduces differential geometry and cutting-edge findings from the discipline by
incorporating both classical approaches and modern discrete differential geometry across …

Protein interactions form a complex dynamic system that shapes cell phenotype and
function; in this regard, network analysis is a powerful tool for studying the dynamics of …

Network analysis is a powerful tool for studying the dynamics of cellular processes. Graph-
based models are limited, however, in that these models consider only pairwise …