Cover Image

Enhancing Swarms Durability to Threats via Graph Signal Processing and GNN-based Generative Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karin, Jonathan, Piran, Zoe, Nitzan, Mor
Format:	Preprint
Published:	2025
Subjects:	Quantitative Methods Machine Learning Biological Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-seq Data Analysis
by: Zhang, Zhenyi, et al.
Published: (2025)

adabmDCA 2.0 -- a flexible but easy-to-use package for Direct Coupling Analysis
by: Rosset, Lorenzo, et al.
Published: (2025)

Protein generation with embedding learning for motif diversification
by: Michalewicz, Kevin, et al.
Published: (2025)

Random Matrix Theory-guided sparse PCA for single-cell RNA-seq data
by: Chardès, Victor
Published: (2025)

Inferring stochastic dynamics with growth from cross-sectional data
by: Zhang, Stephen, et al.
Published: (2025)

The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map
by: Khodaee, Farhan, et al.
Published: (2025)

Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions
by: Rossi, Ivan, et al.
Published: (2025)

Inferring biological processes with intrinsic noise from cross-sectional data
by: Maddu, Suryanarayana, et al.
Published: (2024)

Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops
by: Borisiak, Kevin, et al.
Published: (2024)

Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
by: Pineda, Jesús, et al.
Published: (2024)

Machine learning approaches for interpretable antibody property prediction using structural data
by: Michalewicz, Kevin, et al.
Published: (2025)

Explainable Deep Learning Framework for SERS Bio-quantification
by: Zaki, Jihan K., et al.
Published: (2024)

ConfRover: Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
by: Shen, Yuning, et al.
Published: (2025)

Minority-Triggered Reorientations Yield Macroscopic Cascades and Enhanced Responsiveness in Swarms
by: Syga, Simon, et al.
Published: (2026)

Predicting Soil Macronutrient Levels: A Machine Learning Approach Models Trained on pH, Conductivity, and Average Power of Acid-Base Solutions
by: Kumar, Mridul, et al.
Published: (2025)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
by: Li, Longlong, et al.
Published: (2024)

Learning noisy tissue dynamics across time scales
by: Han, Ming, et al.
Published: (2025)

Global graph features unveiled by unsupervised geometric deep learning
by: Granfors, Mirja, et al.
Published: (2025)

Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
by: Shoghi, Nima, et al.
Published: (2026)

Toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation
by: Zhan, Xianghao, et al.
Published: (2023)

Enhancing Fluorescence Correlation Spectroscopy with Machine Learning for Advanced Analysis of Anomalous Diffusion
by: Quiblier, Nathan, et al.
Published: (2024)

Decoding Neuronal Networks: A Reservoir Computing Approach for Predicting Connectivity and Functionality
by: Auslender, Ilya, et al.
Published: (2023)

Advances in the Simulation and Modeling of Complex Systems using Dynamical Graph Grammars
by: Medwedeff, Eric, et al.
Published: (2024)

A software-based focus system for wide-field optical microscopy
by: Djafer-Cherif, Ilyas, et al.
Published: (2025)

AI-powered simulation-based inference of a genuinely spatial-stochastic model of early mouse embryogenesis
by: Ramirez-Sierra, Michael A., et al.
Published: (2024)

Modeling Full-Scale Leaf Venation Networks
by: Skjegstad, Lars Erik J., et al.
Published: (2024)

An Entropy-initiated Coupled-Trait ODE Framework for Modeling Longitudinal Cohort Dynamics
by: Rodriguez, Anderson M.
Published: (2025)

Single-Trajectory Bayesian Modeling Reveals Multi-State Diffusion of the MSH Sliding Clamp
by: Park, Seongyu, et al.
Published: (2025)

Inference of dynamical gene regulatory networks from single-cell data with physics informed neural networks
by: Mircea, Maria, et al.
Published: (2024)

Extreme Learning Machine for the Characterization of Anomalous Diffusion from Single Trajectories (AnDi-ELM)
by: Manzo, Carlo
Published: (2021)

Reconstruction of three-dimensional shapes of normal and disease-related erythrocytes from partial observations using multi-fidelity neural networks
by: Wen, Haizhou, et al.
Published: (2025)

Multitask Multimodal Fusion with Tabular Foundation Models for Peak and Durability Prediction of Pertussis Booster Response
by: Sitani, Divya
Published: (2026)

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
by: Yu, Zhaoning, et al.
Published: (2024)

Randomness with constraints: constructing minimal models for high-dimensional biology
by: Nemenman, Ilya, et al.
Published: (2025)

Tissue stress measurements with Bayesian Inversion Stress Microscopy
by: Anger, L., et al.
Published: (2025)

Thermal Stress Disrupts Symbiotic Fluid Dynamics in Bobtail Squid
by: Williams, Stephen, et al.
Published: (2025)

Stochastic Analysis of Taxis and Kinesis Properties of Colonial Protozoa
by: Ashenafi, Yonatan L., et al.
Published: (2025)

Neural networks for learning macroscopic chemotactic sensitivity from microscopic models
by: Erban, Radek
Published: (2025)

Absement: Quantitative Assessment of Metabolic Cost during Quasi-Isometric Muscle Loading
by: Marchenko, Serhii V
Published: (2025)

Mapping gene expression dynamics to developmental phenotypes with information entropy analysis
by: Ansbacher, Ben, et al.
Published: (2025)