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检索条件"主题词=Distributed Graph Processing"
49 条 记 录,以下是11-20 订阅
排序:
Greft: Arbitrary Fault-Tolerant distributed graph processing  4
Greft: Arbitrary Fault-Tolerant Distributed Graph Processing
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IEEE International Congress on Big Data
作者: Presser, Daniel Lung, Lau Cheuk Correia, Miguel Univ Fed Santa Catarina Dept Informat & Estat Florianopolis SC Brazil Univ Lisbon Inst Super Tecn INESC ID Lisbon Portugal
Many large-scale computing problems can be modeled as graphs. Example areas include the web, social networks, and biological systems. The increasing sizes of datasets has led to the creation of various distributed lar... 详细信息
来源: 评论
Federated Learning Over Coupled graphs
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IEEE TRANSACTIONS ON PARALLEL AND distributed SYSTEMS 2023年 第4期34卷 1159-1172页
作者: Lei, Runze Wang, Pinghui Zhao, Junzhou Lan, Lin Tao, Jing Deng, Chao Feng, Junlan Wang, Xidian Guan, Xiaohong XianJiaotong Univ MOE Key Lab Intelligent Networks & Network Secur Xian 710049 Shaanxi Peoples R China China Mobile Res Inst Beijing 100875 Peoples R China China Mobile Grp Design Inst Beijing 100080 Peoples R China Tsinghua Univ Ctr Intelligent & Networked Syst Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China
graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph is straightforward. However, in many s... 详细信息
来源: 评论
How to Fit the SCC Algorithm Efficiently into distributed graph Iterative Computation  48
How to Fit the SCC Algorithm Efficiently into Distributed Gr...
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48th Annual IEEE International Computers, Software, and Applications Conference (COMPSAC) - Digital Development for a Better Future
作者: Sun, Xiaochen Wang, Wei Huang, Tao Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
This paper reviews the sequential, parallel and distributed implementations of strongly connected component algorithms, and analyzes the challenges of each implementation in the graph iteration paradigm of distributed... 详细信息
来源: 评论
Efficient Multi-network Community Search Method for distributed graph Iterative Computation  48
Efficient Multi-network Community Search Method for Distribu...
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48th Annual IEEE International Computers, Software, and Applications Conference (COMPSAC) - Digital Development for a Better Future
作者: Sun, Xiaochen Wang, Wei Huang, Tao Chinese Acad Sci Inst Software State Key Lab Comp Sci Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
graph is often used for data analysis. distributed graph processing is gaining traction as it becomes more difficult for a single machine to store and process the complete graph due to the growing volume of data. We i... 详细信息
来源: 评论
DPM: A novel distributed large-scale social graph processing framework for link prediction algorithms
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2018年 78卷 474-480页
作者: Corbellini, Alejandro Godoy, Daniela Mateos, Cristian Schiaffino, Silvia Zunino, Alejandro UNICEN ISISTAN CONICET Paraje Arroyo Seco Campus Univ RA-7000 Buenos Aires DF Argentina
Large-scale graphs have become ubiquitous in social media. Computer-based recommendations in these huge graphs pose challenges in terms of algorithm design and resource usage efficiency when processing recommendations... 详细信息
来源: 评论
distributed graph pattern matching via bounded dual simulation
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INFORMATION SCIENCES 2022年 610卷 549-570页
作者: Bouhenni, Sarra Yahiaoui, Said Nouali-Taboudjemat, Nadia Kheddouci, Hamamache Ecole Natl Super Informat BP M68 Oued Smar 16309 Algeria Ctr Rech Informat Scientif & Tech CERIST Ben Aknoun 16030 Algeria Univ Lyon 1 Univ Lyon CNRS LIRISUMR5205 F-69622 Villeurbanne France
graph Pattern Matching (GPM) finds subgraphs of a large data graph that are similar to an input query graph. It has many applications, such as pattern recognition, detecting plagia-rism, and finding communities in soc... 详细信息
来源: 评论
Optimizing a distributed graph Data Structure for K-Path Centrality Estimation on HPC
Optimizing a Distributed Graph Data Structure for K-Path Cen...
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IEEE High Performance Extreme Computing Virtual Conference (HPEC)
作者: Fletcher, Lance Steil, Trevor Pearce, Roger Lawrence Livermore Natl Lab LLNL Ctr Appl Sci Comp Livermore CA 94550 USA Texas A&M Univ College Stn TX 77843 USA
K-Path centrality is based on the flow of information in a graph along simple paths of length at most K. This work addresses the computational cost of estimating K-path centrality in large-scale graphs by introducing ... 详细信息
来源: 评论
distributed Evaluation of Batches of Iterative graph Queries
Distributed Evaluation of Batches of Iterative Graph Queries
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作者: Mazloumi, Abbas University of California Riverside
学位级别:Ph.D., Doctor of Philosophy
graph analytics has been widely used for analyzing large-scale networks using ever-growing graphs to represent the relationships and entities. The real-world graphs are often large and constantly evolving over time. F... 详细信息
来源: 评论
Expressway: Prioritizing Edges for distributed Evaluation of graph Queries
Expressway: Prioritizing Edges for Distributed Evaluation of...
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2023 IEEE International Conference on Big Data, BigData 2023
作者: Mazloumi, Abbas Afarin, Mahbod Gupta, Rajiv University of California Riverside Computer Science and Engineering Riverside United States
distributed graph analytics is being widely used in various domains for analyzing large real-world graphs. There have been numerous efforts to build distributed frameworks for graph analytics aimed at improving scalab... 详细信息
来源: 评论
Rgraph: Asynchronous graph processing based on asymmetry of remote direct memory access
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SOFTWARE-PRACTICE & EXPERIENCE 2022年 第2期52卷 374-393页
作者: Chen, Hanhua Yuan, Jie Jin, Hai Wang, Yonghui Wu, Sijie Jiang, Zhihao Huazhong Univ Sci & Technol Sch Comp Sci & Technol Serv Comp Technol & Syst Lab Natl Engn Res Ctr Big Data Technol & SystCluster Wuhan 430074 Peoples R China
The scale of real-world graphs is constantly growing. To deal with large-scale graphs, distributed graph processing has attracted much research efforts. Existing distributed graph processing systems are commonly built... 详细信息
来源: 评论