Results 21 to 30 of about 23,139 (195)
The search for minimal edge 1-extension of an undirected colored graph [PDF]
Let $G=(V, \alpha, f)$ be a colored graph with a coloring function $f$ defined on its vertices set $V$. Colored graph $G^*$ is an edge $1$-extension of a colored graph $G$ if $G$ could be included into each subgraph taking into consideration the colors ...
Razumovsky, Peter Vladimirovich
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A Zero Knowledge Authentication Protocol Based on Novel Heuristic Algorithm of Dense Induced Subgraphs Isomorphism [PDF]
Graphs provide an useful mathematical tool for modeling various real world phenomena. Dense graphs arise in many places of interest, for instance the internet and social networks to name just two. The density of a graph should be a real number reflecting
N. M. G. Al-Saidi +2 more
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A coding method for efficient subgraph querying on vertex- and edge-labeled graphs. [PDF]
Labeled graphs are widely used to model complex data in many domains, so subgraph querying has been attracting more and more attention from researchers around the world.
Lei Zhu +5 more
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TemporalRI: subgraph isomorphism in temporal networks with multiple contacts
Temporal networks are graphs where each edge is associated with a timestamp denoting when two nodes interact. Temporal Subgraph Isomorphism (TSI) aims at retrieving all the subgraphs of a temporal network (called target) matching a smaller temporal ...
Giovanni Micale +3 more
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Research on the Top-Down Parsing Method for Context-Sensitive Graph Grammars. [PDF]
The parsing problem is one of the key problems of graph grammars. The typical parsing algorithm uses the bottom-up method. The time-complexity of this method is high, and it is difficult to apply.
Yi Wang, XiaoQin Zeng, Han Ding
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A survey of graph and subgraph isomorphism problems
Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.
Yaohui Lei
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MODIT: MOtif DIscovery in Temporal Networks
Temporal networks are graphs where each edge is linked with a timestamp, denoting when an interaction between two nodes happens. According to the most recently proposed definitions of the problem, motif search in temporal networks consists in finding and
Roberto Grasso +4 more
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Learning with Small Data: Subgraph Counting Queries
Deep Learning (DL) has been widely used in many applications, and its success is achieved with large training data. A key issue is how to provide a DL solution when there is no large training data to learn initially.
Kangfei Zhao +3 more
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Introduction: Given the direct association with malignant ventricular arrhythmias, cardiotoxicity is a major concern in drug design. In the past decades, computational models based on the quantitative structure–activity relationship have been proposed to
Huijia Wang +7 more
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SING: Subgraph search In Non-homogeneous Graphs
Background Finding the subgraphs of a graph database that are isomorphic to a given query graph has practical applications in several fields, from cheminformatics to image understanding.
Pulvirenti Alfredo +5 more
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