Výsledky vyhledávání - "Graph Algorithms"

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  1. 1

    A Deterministic Algorithm for Balanced Cut with Applications to Dynamic Connectivity, Flows, and Beyond Autor Chuzhoy, Julia, Gao, Yu, Li, Jason, Nanongkai, Danupon, Peng, Richard, Saranurak, Thatchaphol

    ISSN: 2575-8454
    Vydáno: IEEE 01.11.2020
    “…We consider the classical Minimum Balanced Cut problem: given a graph G , compute a partition of its vertices into two subsets of roughly equal volume, while…”
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  2. 2

    Incremental k-core decomposition: algorithms and evaluation Autor Sarıyüce, Ahmet Erdem, Gedik, Buğra, Jacques-Silva, Gabriela, Wu, Kun-Lung, Çatalyürek, Ümit V.

    ISSN: 1066-8888, 0949-877X
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016
    Vydáno v The VLDB journal (01.06.2016)
    “…A k -core of a graph is a maximal connected subgraph in which every vertex is connected to at least k vertices in the subgraph. k -core decomposition is often…”
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  3. 3

    PIMGCN: A ReRAM-Based PIM Design for Graph Convolutional Network Acceleration Autor Yang, Tao, Li, Dongyue, Han, Yibo, Zhao, Yilong, Liu, Fangxin, Liang, Xiaoyao, He, Zhezhi, Jiang, Li

    Vydáno: IEEE 05.12.2021
    “…Graph Convolutional Network (GCN) is a promising but computing- and memory-intensive learning model. Processing-in-memory (PIM) architecture based on the ReRAM…”
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  4. 4

    A dynamic programming algorithm for the maximum s-club problem on trees Autor Fernández-Zepeda, José Alberto, Flores-Lamas, Alejandro, Hague, Matthew, Trejo-Sánchez, Joel Antonio

    ISSN: 0377-2217
    Vydáno: Elsevier B.V 01.03.2026
    “…Computing cliques in an undirected graph G=(VG,EG) is a fundamental problem in social network analysis. However, in some cases, the strict definition of a…”
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  5. 5

    iG-kway: Incremental k-way Graph Partitioning on GPU Autor Lee, Wan Luan, Jiang, Shui, Lin, Dian-Lun, Chang, Che, Zhang, Boyang, Chung, Yi-Hua, Schlichtmann, Ulf, Ho, Tsung-Yi, Huang, Tsung-Wei

    Vydáno: IEEE 22.06.2025
    “…Recent advances in GPU-accelerated graph partitioning have achieved significant performance gains but remain limited to full graph partitioning, lacking…”
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  6. 6

    BlasPart: A Deterministic Parallel Partitioner for Balanced Large-Scale Hypergraph Partitioning Autor Tong, Shengbo, Pei, Chunyan, Yu, Wenjian

    Vydáno: IEEE 22.06.2025
    “…Balanced hypergraph partitioning is a fundamental problem in applications like VLSI design, high-performance computing, etc. Nowadays, large-scale hypergraphs…”
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  7. 7

    LearnGraph: A Learning-Based Architecture for Dynamic Graph Processing Autor Zhang, Lingling, Wu, Yijian, Jiang, Hong, Zhou, Ziyu, Lu, Tiancheng

    Vydáno: IEEE 22.06.2025
    “…Dynamic graph processing systems using conventional array-based architectures face significant throughput limitations due to inefficient memory access and…”
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  8. 8

    GPart: A GNN-Enabled Multilevel Graph Partitioner Autor Chen, Magi, Wang, Ting-Chi

    Vydáno: IEEE 22.06.2025
    “…This paper introduces GPart, a scalable multilevel framework for graph partitioning that integrates GNN embeddings with efficient coarsening and refinement…”
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  9. 9

    Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs Autor Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

    Vydáno: IEEE 01.09.2021
    “…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt…”
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  10. 10

    EMGraph: Fast Learning-Based Electromigration Analysis for Multi-Segment Interconnect Using Graph Convolution Networks Autor Jin, Wentian, Chen, Liang, Sadiqbatcha, Sheriff, Peng, Shaoyi, Tan, Sheldon X.-D.

    Vydáno: IEEE 05.12.2021
    “…Electromigration (EM) becomes a major concern for VLSI circuits as the technology advances in the nanometer regime. With Korhonen equations, EM assessment for…”
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  11. 11

    Automated building layout generation using deep learning and graph algorithms Autor Wang, Lufeng, Liu, Jiepeng, Zeng, Yan, Cheng, Guozhong, Hu, Huifeng, Hu, Jiahao, Huang, Xuesi

    ISSN: 0926-5805, 1872-7891
    Vydáno: Elsevier B.V 01.10.2023
    Vydáno v Automation in construction (01.10.2023)
    “…Designing architectural layouts is a complex task that has garnered significant attention in the research community. While automated site layout design and…”
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  12. 12

    Graph-Structured Network Traffic Modelling for Anomaly-Based Intrusion Detection Autor Pratomo, Baskoro Adi, Haykal, Muhammad Farhan, Studiawan, Hudan, Purwitasari, Diana

    ISSN: 2089-8673, 2548-4265
    Vydáno: Universitas Pendidikan Ganesha 09.07.2025
    “…The increasing complexity of cyber threats demands more advanced network intrusion detection systems (NIDS) capable of identifying both known and emerging…”
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  13. 13

    Smaller kernels for 3-leaf power modifications problems Autor Tsur, Dekel

    ISSN: 0304-3975
    Vydáno: Elsevier B.V 09.11.2025
    Vydáno v Theoretical computer science (09.11.2025)
    “…A graph G is a 3-leaf power if there is a tree T and a bijective mapping f from V(G) to the set of leaves of T such that (u,v)∈E(G) if and only if the distance…”
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  14. 14

    Approximate distance oracles with improved stretch for sparse graphs Autor Roditty, Liam, Tov, Roei

    ISSN: 0304-3975
    Vydáno: Elsevier B.V 17.01.2023
    Vydáno v Theoretical computer science (17.01.2023)
    “…Thorup and Zwick [1] introduced the notion of approximate distance oracles, a data structure that produces for an n-vertex, m-edge weighted undirected graph…”
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  15. 15

    DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems Autor Song, Ruibing, Wu, Chunshu, Liu, Chuan, Li, Ang, Huang, Michael, Geng, Tony Tong

    Vydáno: IEEE 29.06.2024
    “…With the rapid digitization of the world, an increasing number of real-world applications are turning to non-Euclidean data, modeled as graphs. Due to their…”
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  16. 16

    Towards scaling community detection on distributed-memory heterogeneous systems Autor Gawande, Nitin, Ghosh, Sayan, Halappanavar, Mahantesh, Tumeo, Antonino, Kalyanaraman, Ananth

    ISSN: 0167-8191, 1872-7336
    Vydáno: United States Elsevier B.V 01.07.2022
    Vydáno v Parallel computing (01.07.2022)
    “…In most real-world networks, nodes/vertices tend to be organized into tightly-knit modules known as communities or clusters such that nodes within a community…”
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  17. 17

    SumPA: Efficient Pattern-Centric Graph Mining with Pattern Abstraction Autor Gui, Chuangyi, Liao, Xiaofei, Zheng, Long, Yao, Pengcheng, Wang, Qinggang, Jin, Hai

    Vydáno: IEEE 01.09.2021
    “…Graph mining aims to explore interesting structural information of a graph. Pattern-centric systems typically transform a generic-purpose graph mining problem…”
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  18. 18

    Parallel Algorithm for Incremental Betweenness Centrality on Large Graphs Autor Jamour, Fuad, Skiadopoulos, Spiros, Kalnis, Panos

    ISSN: 1045-9219, 1558-2183
    Vydáno: New York IEEE 01.03.2018
    “…Betweenness centrality quantifies the importance of nodes in a graph in many applications, including network analysis, community detection and identification…”
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  19. 19

    Three-Coloring and List Three-Coloring of Graphs Without Induced Paths on Seven Vertices Autor Bonomo, Flavia, Chudnovsky, Maria, Maceli, Peter, Schaudt, Oliver, Stein, Maya, Zhong, Mingxian

    ISSN: 0209-9683, 1439-6912
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2018
    Vydáno v Combinatorica (Budapest. 1981) (01.08.2018)
    “…In this paper we present a polynomial time algorithm that determines if an input graph containing no induced seven-vertex path is 3-colorable. This…”
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  20. 20

    BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network Autor Navigli, Roberto, Ponzetto, Simone Paolo

    ISSN: 0004-3702, 1872-7921
    Vydáno: Oxford Elsevier B.V 01.12.2012
    Vydáno v Artificial intelligence (01.12.2012)
    “…We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the…”
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