Výsledky vyhľadávania - "Dynamic graph algorithms"

  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
    Vydavateľské údaje: 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

    Single-source shortest paths and strong connectivity in dynamic planar graphs Autor Charalampopoulos, Panagiotis, Karczmarz, Adam

    ISSN: 0022-0000, 1090-2724
    Vydavateľské údaje: Elsevier Inc 01.03.2022
    “…We give a fully dynamic single-source shortest paths data structure for planar weighted digraphs with O˜(n4/5) worst-case update time and O(log2⁡n) query time…”
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  3. 3

    Fast Dynamic Cuts, Distances and Effective Resistances via Vertex Sparsifiers Autor Chen, Li, Goranci, Gramoz, Henzinger, Monika, Peng, Richard, Saranurak, Thatchaphol

    ISSN: 2575-8454
    Vydavateľské údaje: IEEE 01.11.2020
    “…We present a general framework of designing efficient dynamic approximate algorithms for optimization problems on undirected graphs. In particular, we develop…”
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  4. 4

    Dynamic Algorithms for Approximate Steiner Trees Autor Raikwar, Hemraj, Sadharakiya, Harshil, Karmakar, Sushanta

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Hoboken, USA John Wiley & Sons, Inc 10.04.2025
    Vydané v Concurrency and computation (10.04.2025)
    “…ABSTRACT This study investigates the dynamic Steiner tree problem. The objective of the Steiner tree problem is to compute a minimum‐weight tree connecting a…”
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  5. 5

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

    ISSN: 1045-9219, 1558-2183
    Vydavateľské údaje: 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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  6. 6

    Efficient parallel algorithms for dynamic closeness‐ and betweenness centrality Autor Regunta, Sai Charan, Tondomker, Sai Harsh, Shukla, Kshitij, Kothapalli, Kishore

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc 01.08.2023
    Vydané v Concurrency and computation (01.08.2023)
    “…Finding the centrality measures of nodes in a graph is a problem of fundamental importance due to various applications from social networks, biological…”
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  7. 7

    Trade-Offs in Dynamic Coloring for Bipartite and General Graphs Autor Kashyop, Manas Jyoti, Narayanaswamy, N. S., Nasre, Meghana, Potluri, Sai Mohith

    ISSN: 0178-4617, 1432-0541
    Vydavateľské údaje: New York Springer US 01.04.2023
    Vydané v Algorithmica (01.04.2023)
    “…The dynamic coloring problem has gained attention in the recent past. The focus has largely been on obtaining efficient update time algorithms using Δ + 1 or…”
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  8. 8

    Efficient algorithms for dynamic bidirected Dyck-reachability Autor Li, Yuanbo, Satya, Kris, Zhang, Qirun

    ISSN: 2475-1421, 2475-1421
    Vydavateľské údaje: 01.01.2022
    “…Dyck-reachability is a fundamental formulation for program analysis, which has been widely used to capture properly-matched-parenthesis program properties such…”
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  9. 9

    A Simple Greedy Algorithm for Dynamic Graph Orientation Autor Berglin, Edvin, Brodal, Gerth Stølting

    ISSN: 0178-4617, 1432-0541
    Vydavateľské údaje: New York Springer US 01.02.2020
    Vydané v Algorithmica (01.02.2020)
    “…Graph orientations with low out-degree are one of several ways to efficiently store sparse graphs. If the graphs allow for insertion and deletion of edges, one…”
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  10. 10

    Meerkat: A Framework for Dynamic Graph Algorithms on GPUs Autor Concessao, Kevin Jude, Cheramangalath, Unnikrishnan, Dev, Ricky, Nasre, Rupesh

    ISSN: 0885-7458, 1573-7640
    Vydavateľské údaje: New York Springer US 01.12.2024
    “…Graph algorithms are challenging to implement due to their varying topology and irregular access patterns. Real-world graphs are dynamic in nature and…”
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  11. 11

    Recent Advances in Efficient Dynamic Graph Processing Autor Chen, Zi, Liang, Keke, Yuan, Long, Zhang, Wenjie, Yang, Zhengyi

    ISSN: 2076-3417, 2076-3417
    Vydavateľské údaje: Basel MDPI AG 01.06.2025
    Vydané v Applied sciences (01.06.2025)
    “…Graph as one of the most fundamental and representative data structures has found a wide spectrum of emerging application domains such as social media,…”
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  12. 12

    Anchor First, Accelerate Next: Revolutionizing GNNs with PIM by Harnessing Stationary Data Autor Chen, Jiaxian, Qi, Yuxuan, Zhu, Yongbiao, Yuan, Jianan, Sun, Kaoyi, Wang, Tianyu, Ma, Chenlin, Wang, Yi

    Vydavateľské údaje: IEEE 22.06.2025
    “…Substantial data movement caused by irregular graph topologies hinders the efficient processing of graph neural networks (GNNs). Although the emerging…”
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  13. 13

    Near-Optimal Approximate Decremental All Pairs Shortest Paths Autor Chechik, Shiri

    ISSN: 2575-8454
    Vydavateľské údaje: IEEE 01.10.2018
    “…In this paper we consider the decremental approximate all-pairs shortest paths (APSP) problem, where given a graph G the goal is to maintain approximate…”
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  14. 14

    Super-Logarithmic Lower Bounds for Dynamic Graph Problems Autor Larsen, Kasper Green, Yu, Huacheng

    ISSN: 2575-8454
    Vydavateľské údaje: IEEE 06.11.2023
    “…In this work, we prove a \tilde{\Omega}(\lg^{3/2} n) unconditional lower bound on the maximum of the query time and update time for dynamic data structures…”
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  15. 15

    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

    Vydavateľské údaje: 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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  16. 16

    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

    Vydavateľské údaje: 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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  17. 17

    DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks Autor Chen, Cen, Li, Kenli, Zou, Xiaofeng, Li, Yangfan

    Vydavateľské údaje: IEEE 05.12.2021
    “…Recently, graph neural networks (GNNs) have achieved great success for graph representation learning tasks. Enlightened by the fact that numerous message…”
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  18. 18

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

    Vydavateľské údaje: 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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  19. 19

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

    Vydavateľské údaje: 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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  20. 20

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

    Vydavateľské údaje: 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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