Densest diverse subgraphs: How to plan a successful cocktail party with diversity

A Miyauchi, T Chen, K Sotiropoulos… - Proceedings of the 29th …, 2023 - dl.acm.org
Dense subgraph discovery methods are routinely used in a variety of applications including
the identification of a team of skilled individuals for collaboration from a social network …

Vimo-Visual analysis of neuronal connectivity motifs

J Troidl, S Warchol, J Choi, J Matelsky… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Recent advances in high-resolution connectomics provide researchers with access to
accurate petascale reconstructions of neuronal circuits and brain networks for the first time …

A visual interface for exploring hypotheses about neural circuits

SK Vohra, P Harth, Y Isoe, A Bahl… - … on Visualization and …, 2023 - ieeexplore.ieee.org
One of the fundamental problems in neurobiological research is to understand how neural
circuits generate behaviors in response to sensory stimuli. Elucidating such neural circuits …

Data-driven motif discovery in biological neural networks

JK Matelsky, MS Robinette, B Wester, WR Gray-Roncal… - bioRxiv, 2023 - biorxiv.org
Data from a variety of domains are represented as graphs, including social networks,
transportation networks, computer networks, and biological networks. A key question spans …

Signed motif analysis of the Caenorhabditis elegans neuronal network reveals positive feedforward and negative feedback loops

GS Szilagyi, A Gulyas, Z Vassy, P Csermely, B Fenyves - bioRxiv, 2025 - biorxiv.org
Nervous systems are complex biological networks with largely unknown structural and
functional characteristics. Motif analysis is a robust tool that can reveal unique aspects of …

Complex Brain Networks: A Graph-Theoretical Analysis

K Erciyes - Bioinformatics of the Brain, 2024 - taylorfrancis.com
Complex brain networks are large consisting of many functional nodes and many more
connections between them. A complex brain network may be modelled by a graph enabling …