Results 11 to 20 of about 55,019 (192)

Between Subgraph Isomorphism and Maximum Common Subgraph [PDF]

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2017
When a small pattern graph does not occur inside a larger target graph, we can ask how to find "as much of the pattern as possible" inside the target graph.
Mccreesh, Ciaran   +2 more
core   +13 more sources

Filtering for Subgraph Isomorphism [PDF]

open access: yes, 2007
International audienceA subgraph isomorphism problem consists in deciding if there exists a copy of a pattern graph in a target graph. We introduce in this paper a filtering algorithm dedicated to this problem.
Solnon, Christine   +4 more
core   +11 more sources

An Algorithm for Subgraph Isomorphism [PDF]

open access: yesJournal of the ACM, 1976
Subgraph isomorphism can be determined by means of a brute-force tree-search enumeration procedure. In this paper a new algorithm is introduced that attains efficiency by inferentially eliminating successor nodes in the tree search.
J. R. Ullmann
core   +3 more sources

Neural Subgraph Isomorphism Counting [PDF]

open access: yesProceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020
In this paper, we study a new graph learning problem: learning to count subgraph isomorphisms. Different from other traditional graph learning problems such as node classification and link prediction, subgraph isomorphism counting is NP-complete and ...
Jiang, Xin   +11 more
core   +4 more sources

Pattern matching and pattern discovery algorithms for protein topologies [PDF]

open access: yes, 2001
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgraph isomorphism and finding maximal common subgraphs in a restricted ...
Viksna, J, Gilbert, D
core   +7 more sources

Temporal subgraph isomorphism [PDF]

open access: yesProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2013
Temporal information is increasingly available with network data sets. This information can expose underlying processes in the data via sequences of link activations. Examples range from the propagation of ideas through a scientific collaboration network, to the spread of disease via contacts between infected and susceptible individuals.
Ursula Redmond, Pádraig Cunningham
openaire   +2 more sources

Efficient Streaming Subgraph Isomorphism with Graph NeuralNetworks

open access: yes, 2021
Queries to detect isomorphic subgraphs are important in graphbased data management. While the problem of subgraph isomorphism search has received considerable attention for the static setting of a single query, or a batch thereof, existing approaches do ...
Weidlich, Matthias   +5 more
core   +1 more source

Large Graph Sampling Algorithm for Frequent Subgraph Mining

open access: yesIEEE Access, 2021
Large graph networks frequently appear in the latest applications. Their graph structures are very large, and the interaction among the vertices makes it difficult to split the structures into separate multiple structures, thus increasing the difficulty ...
Tianyu Zheng, Li Wang
doaj   +1 more source

SEARCH-TREE SIZE ESTIMATION FOR THE SUBGRAPH ISOMORPHISM PROBLEM [PDF]

open access: yesActa Electrotechnica et Informatica, 2019
This article addresses the problem of finding patterns in graphs. This is formally defined as the subgraph isomorphism problem and is one of the core problems in theoretical computer science. We consider the counting variation of this problem.
Uroš Čibej, Jurij MIHELIČ
doaj   +1 more source

On the First-Order Complexity of Induced Subgraph Isomorphism [PDF]

open access: yesLogical Methods in Computer Science, 2019
Given a graph $F$, let $I(F)$ be the class of graphs containing $F$ as an induced subgraph. Let $W[F]$ denote the minimum $k$ such that $I(F)$ is definable in $k$-variable first-order logic.
Oleg Verbitsky, Maksim Zhukovskii
doaj   +1 more source

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