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most citedCoarse Graining Molecular Dynamics with Graph Neural Networks

198 citations

23 papers

math.AT2022★ 1 cited

Topological data analysis of truncated contagion maps

Florian Klimm

The investigation of dynamical processes on networks has been one focus for the study of contagion processes. It has been demonstrated that contagions can be used to obtain informa…

physics.comp-ph2020★ 198 cited

Coarse Graining Molecular Dynamics with Graph Neural Networks

Brooke E. Husic, Nicholas E. Charron, Dominik Lemm +9

Coarse graining enables the investigation of molecular dynamics for larger systems and at longer timescales than is possible at atomic resolution. However, a coarse graining model…

q-bio.MN2020★ 23 cited

Control Strategy Identification via Trap Spaces in Boolean Networks

Laura Cifuentes Fontanals, Elisa Tonello, Heike Siebert

The control of biological systems presents interesting applications such as cell reprogramming or drug target identification. A common type of control strategy consists in a set of…

stat.ML2018★ 1 cited

Sparse-Group Bayesian Feature Selection Using Expectation Propagation for Signal Recovery and Network Reconstruction

Edgar Steiger, Martin Vingron

We present a Bayesian method for feature selection in the presence of grouping information with sparsity on the between- and within group level. Instead of using a stochastic algor…

cs.DS2017

Optimum Search Schemes for Approximate String Matching Using Bidirectional FM-Index

Kiavash Kianfar, Christopher Pockrandt, Bahman Torkamandi +2

Finding approximate occurrences of a pattern in a text using a full-text index is a central problem in bioinformatics and has been extensively researched. Bidirectional indices hav…

cond-mat.soft2016★ 5 cited

Reply to Comment on "Anomalous Discontinuity at the Percolation Critical Point of Active Gels"

M. Sheinman, A. Sharma, F. C. MacKintosh

In this reply we discuss definition and estimation of the Fisher exponent in the no-enclaves percolation (NEP) model.