Concept
Graph (discrete mathematics)
Related publications (495)
The connection of the acyclic disconnection and feedback arc sets - On an open problem of Figueroa et al.
We examine the connection of two graph parameters, the size of a minimum feedback arcs set and the acyclic disconnection. A feedback arc set of a directed graph is a subset of arcs such that after deletion the graph becomes acyclic. The acyclic disconnecti ...
Elsevier2024Recovering Static and Time-Varying Communities Using Persistent Edges
Maximilien Claude Robert Dreveton
This article focuses on spectral methods for recovering communities in temporal networks. In the case of fixed communities, spectral clustering on the simple time-aggregated graph (i.e., the weighted graph formed by the sum of the interactions over all tem ...
Ieee Computer Soc2024In Medio Stat Virtus: Combining Boolean and Pattern Matching
Giovanni De Micheli, Alessandro Tempia Calvino, Gianluca Radi
Technology mapping transforms a technology-independent representation into a technology-dependent one given a library of cells. This process is performed by means of local replacements that are extracted by matching sections of the subject graph to library ...
2024Towards an Understanding of Hydraulic Sensitivity: Graph Theory Contributions to Water Distribution Analysis
Water distribution systems (WDSs) are complex networks with numerous interconnected junctions and pipes. The robustness and reliability of these systems are critically dependent on their network structure, necessitating detailed analysis for proactive leak ...
Basel2024Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations
Pierre Vandergheynst, Felix Naef, Cédric Gobet, Francesco Craighero, Mohan Vamsi Nallapareddy
Translation elongation plays an important role in regulating protein concentrations in the cell, and dysregulation of this process has been linked to several human diseases. In this study, we use data from ribo-seq experiments to model ribosome dwell times ...
2024Graph generative deep learning models with an application to circuit topologies
Modern integrated circuits are tiny yet incredibly complex technological artifacts, composed of millions and billions of individual structures working in unison.Managing their complexity and facilitating their design drove part of the co-evolution of moder ...
EPFL2024A Tutorial-Cum-Survey on Percolation Theory With Applications in Large-Scale Wireless Networks
Connectivity is an important key performance indicator and a focal point of research in large-scale wireless networks. Due to path-loss attenuation of electromagnetic waves, direct wireless connectivity is limited to proximate devices. Nevertheless, connec ...
Ieee-Inst Electrical Electronics Engineers Inc2024Post stroke recovery prediction
Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Cyprien Alban Félicien Rivier
The present relates to a method for generating a graph representing a virtually lesioned connectome of a patient after a stroke comprising:- providing structural data of the brain of the patient after the stroke;- segmenting said structural data to delinea ...
2024The Power of Two Matrices in Spectral Algorithms for Community Recovery
Spectral algorithms are some of the main tools in optimization and inference problems on graphs. Typically, the graph is encoded as a matrix and eigenvectors and eigenvalues of the matrix are then used to solve the given graph problem. Spectral algorithms ...
Ieee-Inst Electrical Electronics Engineers Inc2024GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Daniel Gatica-Perez, Sina Sajadmanesh
In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP). We propose a novel differentially private GNN based on Aggregation Perturbation (GAP), which adds stochastic noise to the GNN's aggregation functio ...
Berkeley2023