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A local branching heuristic for solving a graph edit distance problem
Abstract The Graph Edit Distance (GED) problem is a very interesting problem that relates to
Graph Matching (GM) problems, wherever a graph models a problem-defined pattern …
Graph Matching (GM) problems, wherever a graph models a problem-defined pattern …
Large-scale graph indexing using binary embeddings of node contexts for information spotting in document image databases
Graph-based representations are experiencing a growing usage in visual recognition and
retrieval due to their representational power in front of classical appearance-based …
retrieval due to their representational power in front of classical appearance-based …
[PDF][PDF] Network Anomaly Detection Scheme Using Graph Neural Network
P Kisanger - 2024 - rshare.library.torontomu.ca
Traditional intrusion detection systems (IDSs) and intrusion prevention systems (IPSs) focus
on detecting, preventing, and blocking known attacks and obvious threats. Contrary to these …
on detecting, preventing, and blocking known attacks and obvious threats. Contrary to these …
Apprentissage profond pour l'approximation d'une distance d'édition entre graphes
Dans cet article, nous proposons une méthode d'appproximation de la distance d'édition
entre graphes basée sur l'utilisation de deux techniques récentes d'apprentissage profond …
entre graphes basée sur l'utilisation de deux techniques récentes d'apprentissage profond …
[PDF][PDF] Conception d'un outil de comparaison des méthodes de Graph Matching
Le problème de Graph Matching permet, entre autres, de reconnaitre des formes ou des
objets. C'est un problème complexe pour lequel de nombreuses méthodes de résolution ont …
objets. C'est un problème complexe pour lequel de nombreuses méthodes de résolution ont …
Analyzing and improving graph neural networks
G Renton - 2021 - theses.hal.science
Although theorised about fifteen years ago, the scientific community's interest for graph
neural networks has only really taken off recently. Those models aim to transpose the …
neural networks has only really taken off recently. Those models aim to transpose the …
Binary Executable Files Homology Detection with Genetic Algorithm
J Bian, Q Qian - International Journal of Network Security, 2020 - airitilibrary.com
Software homology detection is very meaningful for software copyright protection and
malicious code variants detection. In this paper, we propose a genetic algorithm to justify the …
malicious code variants detection. In this paper, we propose a genetic algorithm to justify the …
[PDF][PDF] Graphical Abstract (Optional) To create your abstract, please type over the instructions in the template box below. Fonts or abstract dimensions should not be …
Graph-based representations are experiencing a growing usage in visual recognition and
retrieval due to their representational power in front of classical appearance-based …
retrieval due to their representational power in front of classical appearance-based …
Driver behavior modeling: applications for driving safety assessment and drivers fingerprinting
A Bouhoute - 2018 - toubkal.imist.ma
The recent computerization of cars, together with the development of sensor technologies
and car communication devices have revolutionized the way researchers and analysts deal …
and car communication devices have revolutionized the way researchers and analysts deal …
[CITATION][C] Distilling Structure from Imagery: Graph-based Models for the Interpretation of Document Images
P Riba Fiérrez - Universitat Autònoma de Barcelona