Search Results - (semi-)streaming graph algorithms

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  1. 1

    Brooks' Theorem in Graph Streams: A Single-Pass Semi-Streaming Algorithm for $\Delta$-Coloring by Assadi, Sepehr, Kumar, Pankaj, Mittal, Parth

    ISSN: 2751-4838, 2751-4838
    Published: TheoretiCS Foundation e.V 25.08.2023
    Published in TheoretiCS (25.08.2023)
    “…$-coloring in the semi-streaming model as well? We settle this key question in the affirmative by designing a randomized semi-streaming algorithm that given any graph, with high probability, either correctly declares that the graph is not $\Delta…”
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    Journal Article
  2. 2

    Useful Graph Semi-Streaming Expanding the Scope of Dynamic Graph Processing by West, Evan T

    ISBN: 9798291564332
    Published: ProQuest Dissertations & Theses 01.01.2025
    “…Systems for graph-processing (computing some property of a graph) are commonly designed for computing on sparse and static graphs…”
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    Dissertation
  3. 3

    Semi-Streaming Algorithms for Annotated Graph Streams by Thaler, Justin

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 10.08.2015
    Published in arXiv.org (10.08.2015)
    “… One of the few bright spots has been the development of semi-streaming algorithms for a handful of graph problems -- these algorithms use space \(O(n\cdot\text{polylog}(n…”
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    Paper
  4. 4

    Optimal per-edge processing times in the semi-streaming model by Zelke, Mariano

    ISSN: 0020-0190, 1872-6119
    Published: Amsterdam Elsevier B.V 31.10.2007
    Published in Information processing letters (31.10.2007)
    “…We present semi-streaming algorithms for basic graph problems that have optimal per-edge processing times and therefore surpass all previous semi-streaming algorithms for these tasks…”
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    Journal Article
  5. 5

    Brooks' Theorem in Graph Streams: A Single-Pass Semi-Streaming Algorithm for \(\Delta\)-Coloring by Assadi, Sepehr, Kumar, Pankaj, Mittal, Parth

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 03.08.2023
    Published in arXiv.org (03.08.2023)
    “…\)-coloring in the semi-streaming model as well? We settle this key question in the affirmative by designing a randomized semi-streaming algorithm that given any graph, with high probability, either correctly declares that the graph is not \(\Delta…”
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    Paper
  6. 6

    CA-GNN: A Competence-Aware Graph Neural Network for Semi-Supervised Learning on Streaming Data by Yu, Hang, Wen, Jiahao, Sun, Yiping, Wei, Xiao, Lu, Jie

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.02.2025
    Published in IEEE transactions on cybernetics (01.02.2025)
    “…) algorithms becoming an efficient tool for streaming data mining. Recently, the graph-based SSL algorithms have been proposed to improve SSL performance because the graph structure can utilize the interactivity between surrounding nodes…”
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    Journal Article
  7. 7

    On graph problems in a semi-streaming model by Feigenbaum, Joan, Kannan, Sampath, McGregor, Andrew, Suri, Siddharth, Zhang, Jian

    ISSN: 0304-3975, 1879-2294
    Published: Amsterdam Elsevier B.V 08.12.2005
    Published in Theoretical computer science (08.12.2005)
    “…We formalize a potentially rich new streaming model, the semi-streaming model, that we believe is necessary for the fruitful study of efficient algorithms for solving problems on massive graphs whose…”
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    Journal Article Conference Proceeding
  8. 8

    Weighted Matching in the Semi-Streaming Model by Zelke, Mariano

    ISSN: 0178-4617, 1432-0541
    Published: New York Springer-Verlag 01.02.2012
    Published in Algorithmica (01.02.2012)
    “…We present an approximation algorithm to find a weighted matching of a graph in the one-pass semi-streaming model…”
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    Journal Article
  9. 9

    Bipartite Matching in the Semi-streaming Model by Eggert, Sebastian, Kliemann, Lasse, Munstermann, Peter, Srivastav, Anand

    ISSN: 0178-4617, 1432-0541
    Published: New York Springer-Verlag 01.06.2012
    Published in Algorithmica (01.06.2012)
    “…We present the first deterministic 1+ ε approximation algorithm for finding a large matching in a bipartite graph in the semi-streaming model which requires only O ((1/ ε ) 5…”
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    Journal Article
  10. 10

    Maximum Matching Sans Maximal Matching: A New Approach for Finding Maximum Matchings in the Data Stream Model by Feldman, Moran, Szarf, Ariel

    ISSN: 0178-4617, 1432-0541
    Published: New York Springer US 01.04.2024
    Published in Algorithmica (01.04.2024)
    “…, the state-of-the-art single-pass semi-streaming algorithm for it is still a simple greedy algorithm…”
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    Journal Article
  11. 11

    Meta-theorems for Parameterized Streaming Algorithms by Lokshtanov, Daniel, Misra, Pranabendu, Panolan, Fahad, Ramanujan, M S, Saket Saurabh, Zehavi, Meirav

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 03.08.2023
    Published in arXiv.org (03.08.2023)
    “… Thus, we explore {\em semi-streaming} algorithms for parameterized graph problems, and present the first systematic…”
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    Paper
  12. 12

    Deterministic Graph Coloring in the Streaming Model by Assadi, Sepehr, Chen, Andrew, Sun, Glenn

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 30.09.2021
    Published in arXiv.org (30.09.2021)
    “…Recent breakthroughs in graph streaming have led to the design of single-pass semi-streaming algorithms for various graph coloring problems such as \((\Delta+1…”
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    Paper
  13. 13

    A Simple $(1-ε)$-Approximation Semi-Streaming Algorithm for Maximum (Weighted) Matching by Assadi, Sepehr

    ISSN: 2751-4838, 2751-4838
    Published: 01.08.2025
    Published in TheoretiCS (01.08.2025)
    “…We present a simple semi-streaming algorithm for $(1-ε)$-approximation of bipartite matching in $O(\log{\!(n)}/ε)$ passes…”
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    Journal Article
  14. 14

    Engineering Semi-streaming DFS algorithms by Kancharla Nikhilesh Bhagavan, Macharla Sri Vardhan, Madamanchi, Ashok Chowdary, Khan, Shahbaz

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 07.06.2024
    Published in arXiv.org (07.06.2024)
    “…)\). In the streaming environment, most graph problems are studied in the semi-streaming model where several passes (preferably one…”
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    Paper
  15. 15

    Improved Bounds for Matching in Random-Order Streams by Bernstein, Aaron

    ISSN: 1432-4350, 1433-0490
    Published: New York Springer US 01.08.2024
    Published in Theory of computing systems (01.08.2024)
    “… In the semi-streaming model, the edges of the input graph G = ( V , E ) are given as a stream e 1…”
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    Journal Article
  16. 16

    Analyzing massive graphs in the semi-streaming model by Ahn, Kook Jin

    ISBN: 1303175967, 9781303175961
    Published: ProQuest Dissertations & Theses 01.01.2013
    “… The semi-streaming model was proposed for processing massive graphs. In the semi-streaming model, we have a random accessible memory which is near-linear in the number of vertices. The input graph…”
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    Dissertation
  17. 17

    Spectral Sparsification in the Semi-streaming Setting by Kelner, Jonathan A., Levin, Alex

    ISSN: 1432-4350, 1433-0490
    Published: New York Springer-Verlag 01.08.2013
    Published in Theory of computing systems (01.08.2013)
    “… This notion is strictly stronger than the earlier concept of combinatorial sparsification. In this paper, we consider a semi-streaming setting, where we have only storage space, and we thus cannot keep all of G…”
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    Journal Article
  18. 18

    k-Connectivity in the Semi-Streaming Model by Zelke, Mariano

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 16.08.2006
    Published in arXiv.org (16.08.2006)
    “…We present the first semi-streaming algorithms to determine k-connectivity of an undirected graph with k being any constant…”
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    Paper
  19. 19

    On Adaptivity and Randomness for Streaming Algorithms by Stoeckl, Manuel

    ISBN: 9798384215356
    Published: ProQuest Dissertations & Theses 01.01.2024
    “…A streaming algorithm has a limited amount of memory and reads a long sequence (data stream) of input elements, one by one, and computes an output depending on the input…”
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    Dissertation
  20. 20

    (\mathcal{O}(\log\log{n})\) Passes is Optimal for Semi-Streaming Maximal Independent Set by Assadi, Sepehr, Konrad, Christian, Naidu, Kheeran K, Sundaresan, Janani

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 20.12.2023
    Published in arXiv.org (20.12.2023)
    “…In the semi-streaming model for processing massive graphs, an algorithm makes multiple passes over the edges of a given \(n…”
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    Paper