Search Results - Graph Theory—graph algorithms*

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  1. 1

    Graph partitioning and graph clustering : 10th DIMACS Implementation Challenge Workshop, February 13-14, 2012, Georgia Institute of Technology, Atlanta, GA by DIMACS Implementation Challenge Workshop, Bader, David A.

    ISBN: 9780821890387, 0821890387
    Published: Providence, R.I American Mathematical Society 2013
    “…Graph partitioning and graph clustering are ubiquitous subtasks in many applications where graphs play an important role…”
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    eBook Book
  2. 2

    Effective-Resistance Preserving Spectral Reduction of Graphs by Zhao, Zhiqiang, Feng, Zhuo

    Published: ACM 01.06.2019
    “…This paper proposes a scalable algorithmic framework for effective-resistance preserving spectral reduction of large undirected graphs…”
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    Conference Proceeding
  3. 3

    Handbook of chemoinformatics algorithms by Faulon, Jean-Loup, Bender, Andreas

    ISBN: 1420082922, 9781420082920
    Published: Boca Raton, FL Chapman & Hall/CRC 2010
    “… It explains how algorithms and graph theory are applied to chemical problems, such as structure-activity/property predictions…”
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    eBook Book
  4. 4

    Graph Algorithms and Graph Theory-Symmetry Special Issue by Lafond, Manuel

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 22.08.2022
    Published in Symmetry (Basel) (22.08.2022)
    “…Understanding the structure of graphs and the interplay between their parameters is a fundamental question that has been actively researched over the last…”
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    Journal Article
  5. 5

    A graphtheory algorithm for rapid protein side‐chain prediction by Canutescu, Adrian A., Shelenkov, Andrew A., Dunbrack, Roland L.

    ISSN: 0961-8368, 1469-896X
    Published: Bristol Cold Spring Harbor Laboratory Press 01.09.2003
    Published in Protein science (01.09.2003)
    “… A new algorithm for SCWRL is presented that uses results from graph theory to solve the combinatorial problem encountered in the side…”
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    Journal Article
  6. 6

    Multi-response optimization in WEDM process of Al–Si alloy using TLBO-graph theory algorithm towards sustainability by Venkatarao, Kaki, Reddy, Malla Chaitanya, Kumar, Yekula Prasanna, Raju, Lam Suvarna, Rao, Bonula Rama, Azad, Duppala

    ISSN: 0268-3768, 1433-3015
    Published: London Springer London 01.06.2023
    “… The HTLBO comprises teaching and learning–based optimization technique and graph theory algorithm to improve WEDM performance…”
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    Journal Article
  7. 7

    The Readability of Path-Preserving Clusterings of Graphs by Archambault, Daniel, Purchase, Helen C., Pinaud, Bruno

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.06.2010
    Published in Computer graphics forum (01.06.2010)
    “…Graph visualization systems often exploit opaque metanodes to reduce visual clutter and improve the readability of large graphs…”
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    Journal Article
  8. 8

    Graph Algorithms and Applications 5 by Liotta, Giuseppe, Tamassia, Roberto, Tollis, Ioannis G

    ISBN: 981256845X, 9789812568458, 9812773282, 9789812773289
    Published: Singapore World Scientific Publishing Co. Pte. Ltd 2006
    “…This book contains Volume 8 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted to the publication…”
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    eBook
  9. 9

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

    Published: IEEE 05.12.2021
    “…Graph Convolutional Network (GCN) is a promising but computing- and memory-intensive learning model…”
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    Conference Proceeding
  10. 10

    Graph Algorithms and Applications 4 by Liotta, Giuseppe, Tamassia, Roberto, Tollis, Ioannis G

    ISBN: 9789812568441, 9812568441, 9789812773296, 9812773290
    Published: Singapore World Scientific Publishing Co. Pte. Ltd 2006
    “…This book contains Volume 7 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted to the publication…”
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    eBook
  11. 11

    The Logic of Graph Neural Networks by Grohe, Martin

    Published: IEEE 29.06.2021
    “…Graph neural networks (GNNs) are deep learning architectures for machine learning problems on graphs…”
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    Conference Proceeding
  12. 12

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

    Published: IEEE 22.06.2025
    “…Recent advances in GPU-accelerated graph partitioning have achieved significant performance gains but remain limited to full graph partitioning, lacking support for incremental updates…”
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    Conference Proceeding
  13. 13

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

    Published: 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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    Conference Proceeding
  14. 14

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

    Published: IEEE 22.06.2025
    “…Dynamic graph processing systems using conventional array-based architectures face significant throughput limitations due to inefficient memory access and index management…”
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    Conference Proceeding
  15. 15

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

    Published: IEEE 22.06.2025
    “…This paper introduces GPart, a scalable multilevel framework for graph partitioning that integrates GNN embeddings with efficient coarsening and refinement techniques…”
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    Conference Proceeding
  16. 16

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

    Published: 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 computing-intensive algorithms on large-scale graphs…”
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    Conference Proceeding
  17. 17

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

    Published: IEEE 05.12.2021
    “… VLSI multisegment interconnect trees can be naturally viewed as graphs. Based on this observation, we propose a new graph convolution network (GCN…”
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    Conference Proceeding
  18. 18

    Graph algorithms and applications 3 by Liotta, Giuseppe, Tamassia, Roberto, Tollis, Ioannis G

    ISBN: 9789812389398, 9812389393, 9789812796608, 9812796606
    Published: Singapore World Scientific Publishing Co. Pte. Ltd 2004
    “…This book contains Volume 6 of the Journal of Graph Algorithms and Applications (JGAA). JGAA is a peer-reviewed scientific journal devoted to the publication…”
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    eBook
  19. 19

    Graph Theory Algorithms of Hamiltonian Cycle from Quasi-Spanning Tree and Domination Based on Vizing Conjecture by Anuradha, T., Lakshmi Surekha, T., Nuthakki, Praveena, Domathoti, Bullarao, Ghorai, Ganesh, Shami, Faria Ahmed

    ISSN: 2314-4629, 2314-4785
    Published: Cairo Hindawi 2022
    Published in Journal of Mathematics (2022)
    “… Goodey pioneered the idea of holding facing 4 to 6 sides of a graph concurrently. Similarly, in the three connected cubic planar graphs with two-colored faces, the vertex is incident to one blue and two red faces…”
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    Journal Article
  20. 20

    Bioprospecting Trichoderma: A Systematic Roadmap to Screen Genomes and Natural Products for Biocontrol Applications by Rush, Tomás A., Shrestha, Him K., Gopalakrishnan Meena, Muralikrishnan, Spangler, Margaret K., Ellis, J. Christopher, Labbé, Jesse L., Abraham, Paul E.

    ISSN: 2673-6128, 2673-6128
    Published: United States Frontiers Media S.A 16.09.2021
    Published in Frontiers in fungal biology (16.09.2021)
    “…Natural products derived from microbes are crucial innovations that would help in reaching sustainability development goals worldwide while achieving…”
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    Journal Article