Search Results - Graph and network algorithms

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  1. 1

    Complexity of the Directed Robust b‐Matching Problem and Its Variants on Different Graph Classes by Segschneider, Jenny, Koster, Arie M. C. A.

    ISSN: 0028-3045, 1097-0037
    Published: Hoboken, USA John Wiley & Sons, Inc 01.09.2025
    Published in Networks (01.09.2025)
    “… Given an undirected graph, each vertex v$$ v $$ has a capacity bv$$ {b}_v $$, indicating the maximum number of times it can be matched, while edges can also be used multiple times…”
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    Journal Article
  2. 2

    Graph Neural Network-based Deep Reinforcement Learning algorithm for Virtual Network Function forwarding graph embedding in Space–Air–Ground Integrated Network by Liu, Liang, Jing, Tengxiang, Tan, Siyuan, Zhang, Yujie, He, Yejun, Xu, Chuan

    ISSN: 0952-1976
    Published: Elsevier Ltd 15.09.2025
    “…) into VNF Forwarding Graph (VNF-FG) to provide users with scalable and parallel network services…”
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    Journal Article
  3. 3

    Robust two-dose vaccination schemes and the directed b-matching problem by Segschneider, Jenny, Koster, Arie M.C.A.

    ISSN: 0166-218X, 1872-6771
    Published: Elsevier B.V 30.10.2024
    Published in Discrete Applied Mathematics (30.10.2024)
    “… In this paper, we study the robust version of this problem and its generalization to matchings on arbitrary graphs…”
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    Journal Article
  4. 4

    Graph Algorithms and Applications

    ISBN: 9783036515410, 3036515410, 3036515429, 9783036515427
    Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
    “… Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships…”
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    eBook
  5. 5

    Special Issue on “Graph Algorithms and Applications” by Cicerone, Serafino, Di Stefano, Gabriele

    ISSN: 1999-4893, 1999-4893
    Published: Basel MDPI AG 01.05.2021
    Published in Algorithms (01.05.2021)
    “… Typical data include biological data, communication network data, image data, etc. Graphs provide a natural way to represent and analyze these types of data and their relationships…”
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    Journal Article
  6. 6

    Graph Neural Network-Accelerated Multitasking Genetic Algorithm for Optimizing PdxTi1-xHy Surfaces under Various CO2 Reduction Reaction Conditions by Ai, Changzhi, Han, Shuang, Yang, Xin, Vegge, Tejs, Hansen, Heine Anton

    ISSN: 1944-8252, 1944-8252
    Published: 13.03.2024
    Published in ACS applied materials & interfaces (13.03.2024)
    “…Palladium (Pd) hydride-based catalysts have been reported to have excellent performance in the CO2 reduction reaction (CO2RR) and hydrogen evolution reaction…”
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    Journal Article
  7. 7

    JAVENGA: JAva-based Visualization Environment for Network and Graph Algorithms by Baloukas, Thanasis

    ISSN: 1061-3773, 1099-0542
    Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.06.2012
    “…‐known graph and network algorithms. However, besides simple algorithms the tool also illustrates a visualization of a quite complex one, such as the Network Simplex algorithm…”
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    Journal Article
  8. 8

    Software environment for rapid prototyping of graph and network algorithms by Banach, Kamil, Kasprzyk, Rafał

    ISSN: 2450-0054
    Published: 18.10.2017
    “…The article presents an innovative software environment for rapid prototyping of graph and network algorithms…”
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    Journal Article
  9. 9

    Graph Transformation Based on Heterogeneous Information Network for Graph Algorithms by Liu, Zhenguo, Ma, Chao, Zhao, Jimiao, Hu, Haiyang, Yin, Xiongyi

    ISSN: 1742-6588, 1742-6596
    Published: Bristol IOP Publishing 01.08.2023
    Published in Journal of physics. Conference series (01.08.2023)
    “…). And, graph computing algorithms for the data mining based on network is the most popular way at the moment…”
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    Journal Article
  10. 10

    A social network graph partitioning algorithm based on double deep Q-Network by Cao, Jie, Wang, Haoxiang, Jiao, Jingru, Hu, Kekun, Qi, Ping

    ISSN: 2045-2322, 2045-2322
    Published: London Nature Publishing Group UK 02.10.2025
    Published in Scientific reports (02.10.2025)
    “…With the rapid expansion of social networks, efficiently mining and analyzing massive graph data has become a fundamental challenge in social network research…”
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    Journal Article
  11. 11

    Research on cross‐hierarchical graph network recommendation algorithm based on random walk and convolutional neural network by Huang, Meng, Sun, Guohui

    ISSN: 1532-0626, 1532-0634
    Published: 08.11.2021
    Published in Concurrency and computation (08.11.2021)
    “… Therefore, facing the recommendation problem of large‐scale heterogeneous interaction, some studies have raised the problem of whether graph convolution neural network (GCN…”
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    Journal Article
  12. 12

    Three-stage prediction of protein β-sheets by neural networks, alignments and graph algorithms by Cheng, Jianlin, Baldi, Pierre

    ISSN: 1367-4803, 1460-2059
    Published: England Oxford University Press 01.06.2005
    Published in Bioinformatics (01.06.2005)
    “…-sheets in a chain by integrating both local and global constraints in three steps. The first step uses recursive neural networks to predict pairing probabilities for all pairs of interstrand β…”
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    Journal Article
  13. 13

    Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization AlgorithmGraph Neural Network Improvement by He, Weidong, Yin, Xiaojing, Shao, Yubo, Chen, Dianxin, Mi, Jianglong, Jiao, Yang

    ISSN: 2227-7390, 2227-7390
    Published: Basel MDPI AG 01.01.2025
    Published in Mathematics (Basel) (01.01.2025)
    “… Therefore, this paper proposes the NOA (Nutcracker Optimization Algorithm)–GNN (Graph Neural Network…”
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    Journal Article
  14. 14

    Dynamic Virtual Network Embedding Algorithm Based on Graph Convolution Neural Network and Reinforcement Learning by Zhang, Peiying, Wang, Chao, Kumar, Neeraj, Zhang, Weishan, Liu, Lei

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 15.06.2022
    Published in IEEE internet of things journal (15.06.2022)
    “…) and graph neural network (GNN) theory to the algorithm, especially the combination of graph convolutional neural network (GCNN) and RL algorithm…”
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    Journal Article
  15. 15

    Intelligent Big Information Retrieval of Smart Library Based on Graph Neural Network (GNN) Algorithm by Pang, Lu

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Published: New York Hindawi 13.07.2022
    “…) algorithm is proposed. Through the key technical problems and solutions of information recommendation represented by graph neural network (GNN…”
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    Journal Article
  16. 16

    ProstaNet: A Novel Geometric Vector Perceptrons–Graph Neural Network Algorithm for Protein Stability Prediction in Single- and Multiple-Point Mutations with Experimental Validation by Liang, Tianjian, Sun, Ze-Yu, Ishima, Rieko, Xie, Xiang-Qun, Xue, Ying, Li, Wei, Feng, Zhiwei

    ISSN: 2639-5274, 2639-5274
    Published: United States AAAS 2025
    Published in Research (Washington) (2025)
    “… resulting from single- and multiple-point mutations using geometric vector perceptrons–graph neural network for 3-dimensional feature processing…”
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    Journal Article
  17. 17

    GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm by Wang, Lei, You, Zhu-Hong, Li, Yang-Ming, Zheng, Kai, Huang, Yu-An

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Published: United States Public Library of Science 20.05.2020
    Published in PLoS computational biology (20.05.2020)
    “… In this study, we propose a computational method called GCNCDA based on the deep learning Fast learning with Graph…”
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    Journal Article
  18. 18

    An Improved Myocardial Infarction Detection using Convolutional Neural Network and Graph Neural Network Algorithm by Abisoye, Opeyemi Aderiike

    ISSN: 2252-4274, 2252-5459
    Published: Palembang Computer Engineering and Applications Journal, Universitas Sriwijaya 01.06.2024
    “…Myocardial infarction (MI) is a crucial health problem and its mortality rate is higher than that of cancer. It is the damage and death of heart muscle from…”
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