Higher-order networks are widely used to describe complex systems in which interactions
can involve more than two entities at once. In this paper, we focus on inclusion within higher …

Graph neural networks (GNNs) have demonstrated promising performance across various
chemistry-related tasks. However, conventional graphs only model the pairwise connectivity …

Scalable addressing of high-dimensional constrained combinatorial optimization problems
is a challenge that arises in several science and engineering disciplines. Recent work …

Complex biological processes, such as cellular differentiation, require intricate rewiring of
intra-cellular signalling networks. Previous characterisations revealed a raised network …

Single-cell RNA sequencing (scRNA-seq) enables dissecting cellular heterogeneity in
tissues, resulting in numerous biological discoveries. Various computational methods have …

Network biology, an interdisciplinary field at the intersection of computational and biological
sciences, is critical for deepening understanding of cellular functioning and disease. While …

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

Typical 'omic analyses reduce complex biological systems to simple lists of supposedly
independent variables, failing to account for changes in the wider transcriptional landscape …

Many complex systems often contain interactions between more than two nodes, known as
higher-order interactions, which can change the structure of these systems in significant …

Human Leukocyte Antigen (HLA) is like a device that monitors the internal environment of
the body. T lymphocytes immediately recognize the HLA molecules that are expressed on …