Výsledky vyhľadávania - Subgraph selection algorithm
-
1
A Self-Adaptive Subgraph Generation Algorithm for EEG Channel Selection
ISSN: 1945-8452Vydavateľské údaje: IEEE 27.05.2024Vydané v Proceedings (International Symposium on Biomedical Imaging) (27.05.2024)“… In this paper, a self-adaptive subgraph generation algorithm for EEG channel selection (SSGE), built on the base of graph convolution network (GCN…”
Získať plný text
Konferenčný príspevok.. -
2
Parallel custom instruction identification for extensible processors
ISSN: 1383-7621, 1873-6165Vydavateľské údaje: Elsevier B.V 01.05.2017Vydané v Journal of systems architecture (01.05.2017)“… Determining parts of application code as custom instruction generally requires subgraph enumeration and subgraph selection…”
Získať plný text
Journal Article -
3
Incremental Subgraph Feature Selection for Graph Classification
ISSN: 1041-4347, 1558-2191Vydavateľské údaje: New York IEEE 01.01.2017Vydané v IEEE transactions on knowledge and data engineering (01.01.2017)“… In this paper, we propose a primal-dual incremental subgraph feature selection algorithm (ISF) based on a max-margin graph classifier…”
Získať plný text
Journal Article -
4
Improving high-level synthesis effectiveness through custom operator identification
ISSN: 0271-4302Vydavateľské údaje: IEEE 01.06.2014Vydané v IEEE International Symposium on Circuits and Systems proceedings (01.06.2014)“…It is increasingly common to see custom operators appear in various fields of circuit design. Custom operators that can be implemented in special hardware…”
Získať plný text
Konferenčný príspevok.. -
5
Augmentation of Densest Subgraph Finding Unsupervised Feature Selection Using Shared Nearest Neighbor Clustering
ISSN: 1999-4893, 1999-4893Vydavateľské údaje: Basel MDPI AG 01.01.2023Vydané v Algorithms (01.01.2023)“… To mitigate the same, this paper presents a new unsupervised feature selection method, termed as densest feature graph augmentation with disjoint feature clusters…”
Získať plný text
Journal Article -
6
Two provably consistent divide-and-conquer clustering algorithms for large networks
ISSN: 1091-6490, 1091-6490Vydavateľské údaje: United States 02.11.2021Vydané v Proceedings of the National Academy of Sciences - PNAS (02.11.2021)“… We propose two algorithms that perform clustering on several small subgraphs and finally patch the results into a single clustering…”
Zistit podrobnosti o prístupe
Journal Article -
7
Modifications of the algorithm for selection isomorphic subgraphs from graph
ISBN: 146730283X, 9781467302838Vydavateľské údaje: IEEE 01.02.2012Vydané v 2012 11th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (01.02.2012)“…In this paper considered two modifications of the algorithm for selection isomorphic subgraphs from graph…”
Získať plný text
Konferenčný príspevok.. -
8
High-quality topological structures selection for smart city land spatial understanding and governance
ISSN: 0167-739X, 1872-7115Vydavateľské údaje: Elsevier B.V 01.11.2020Vydané v Future generation computer systems (01.11.2020)“…Due to the acceleration of urbanization process in modern society, there are many metropolises throughout the world, such as New York, Tokyo, and Shanghai…”
Získať plný text
Journal Article -
9
MR-SimLab: Scalable subgraph selection with label similarity for big data
ISSN: 0306-4379, 1873-6076Vydavateľské údaje: Oxford Elsevier Ltd 01.09.2017Vydané v Information systems (Oxford) (01.09.2017)“…•Existing feature selection algorithms are facing a scalability challenge.•We propose MR-SimLab, a MapReduce-based subgraph selection approach for big data…”
Získať plný text
Journal Article -
10
Supervised feature selection using integration of densest subgraph finding with floating forward–backward search
ISSN: 0020-0255, 1872-6291Vydavateľské údaje: Elsevier Inc 01.08.2021Vydané v Information sciences (01.08.2021)“…In this paper, a novel approach of supervised feature selection is proposed based on the principle of dense subgraph discovery…”
Získať plný text
Journal Article -
11
A comparison of heuristic algorithms for custom instruction selection
ISSN: 0141-9331, 1872-9436Vydavateľské údaje: Elsevier B.V 01.08.2016Vydané v Microprocessors and microsystems (01.08.2016)“…: subgraph enumeration and subgraph selection. In this paper, we focus on the subgraph selection problem, which has been widely recognized as a computationally difficult problem…”
Získať plný text
Journal Article -
12
Subgraph Matching with Set Similarity in a Large Graph Database
ISSN: 1041-4347Vydavateľské údaje: IEEE 01.09.2015Vydané v IEEE transactions on knowledge and data engineering (01.09.2015)“… In this paper, we study a subgraph matching with set similarity (SMS 2 ) query over a large graph database, which retrieves subgraphs that are structurally isomorphic…”
Získať plný text
Journal Article -
13
Tps: A new way to find good vertex-search order for exact subgraph matching
ISSN: 1573-7721, 1380-7501, 1573-7721Vydavateľské údaje: New York Springer US 01.08.2024Vydané v Multimedia tools and applications (01.08.2024)“… Selecting an optimal vertex-searching order can greatly improve a subgraph searching algorithm's effectiveness, yet a comprehensive theory for this selection is lacking…”
Získať plný text
Journal Article -
14
Applying novel connectivity networks to wood turtle populations to provide comprehensive conservation management strategies for species at risk
ISSN: 1932-6203, 1932-6203Vydavateľské údaje: San Francisco Public Library of Science 12.08.2022Vydané v PloS one (12.08.2022)“… BRIDES characterizes different types of shortest paths among the nodes of a subgraph and compares the shortest paths among the same nodes in a complete network…”
Získať plný text
Journal Article -
15
Overlapping Community Detection Algorithm Based on Subgraph Structure
ISSN: 1002-137XVydavateľské údaje: Editorial office of Computer Science 01.09.2021Vydané v Ji suan ji ke xue (01.09.2021)“…Local community detection algorithms usually select seed nodes for community detection.To improve the quality of effectiveness of seed node selection,we propose…”
Získať plný text
Journal Article -
16
Integration of dense subgraph finding with feature clustering for unsupervised feature selection
ISSN: 0167-8655, 1872-7344Vydavateľské údaje: Elsevier B.V 15.04.2014Vydané v Pattern recognition letters (15.04.2014)“…•Superiority over three existing methods is established for eight data sets. In this article a dense subgraph finding approach is adopted for the unsupervised feature selection problem…”
Získať plný text
Journal Article -
17
Brain Network Classification Method with Subgraph Selection and Graph-Kernel-Based Dimensionality Reduction
ISSN: 1673-9418Vydavateľské údaje: 01.10.2014Vydané v Jisuanji Kexue yu Tansuo / Journal of Computer Science and Frontiers (01.10.2014)“… Firstly, this method mines two groups of frequent subgraphs from positive and negative classes respectively, and then selects the most discriminative subgraphs using the subgraph selection algorithm…”
Získať plný text
Journal Article -
18
Depression Classification Using Frequent Subgraph Mining Based on Pattern Growth of Frequent Edge in Functional Magnetic Resonance Imaging Uncertain Network
ISSN: 1662-453X, 1662-4548, 1662-453XVydavateľské údaje: Switzerland Frontiers Media S.A 29.04.2022Vydané v Frontiers in neuroscience (29.04.2022)“…; for example, the mining uncertain subgraph patterns (MUSE) method was used to mine frequent subgraphs and the discriminative feature selection for uncertain graph classification (DUG…”
Získať plný text
Journal Article -
19
Overlapping Community Detection Algorithm Based on High-Quality Subgraph Extension in Local Core Regions of Network
ISSN: 1530-8669, 1530-8677Vydavateľské údaje: Oxford Hindawi 2023Vydané v Wireless communications and mobile computing (2023)“… of calculation caused by deleting nodes in the process of seed expansion. This paper proposes an overlapping community detection algorithm based on high-quality subgraph extension in local core regions of the network (OLCRE…”
Získať plný text
Journal Article -
20
Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis
ISSN: 1556-6013, 1556-6021Vydavateľské údaje: IEEE 01.08.2018Vydané v IEEE transactions on information forensics and security (01.08.2018)“… approach for accelerating malware analysis. Furthermore, the selection of representative malware samples in each family can drastically decrease the number of malware to be analyzed…”
Získať plný text
Journal Article

