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检索条件"主题词=Graph Data processing"
12 条 记 录,以下是1-10 订阅
Research on Knowledge Storage and Query Technology Based on General graph data processing Framework  13
Research on Knowledge Storage and Query Technology Based on ...
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13th IEEE International Conference on Communication Software and Networks (ICCSN)
作者: Yu, Bihui Zhang, Yabiao Sun, Huajun Chinese Acad Sci Shenyang Inst Comp Technol Shenyang Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Shenyang Univ Chem Technol Shenyang Peoples R China
With the development of the Semantic Web, more and more data is currently managed in the form of knowledge graphs. Different knowledge storage and query modes have their own advantages, but also have shortcomings, and... 详细信息
来源: 评论
An efficient iterative graph data processing framework based on bulk synchronous parallel model
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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2020年 第3期32卷
作者: Liu, Chao Zeng, Deze Yao, Hong Yan, Xuesong Yu, Linchen Fu, Zhangjie China Univ Geosci Sch Comp Sci Hubei Key Lab Intelligent Geoinformat Proc Wuhan Peoples R China Nanjing Univ Informat Sci & Technol Sch Comp & Software Nanjing Peoples R China
graph data processing has been widely applied in a variety of domains such as industry, science, social network, and so on. It therefore has stimulated many efforts devoted to this area. To embrace the fast developmen... 详细信息
来源: 评论
An overview and an Approach for graph data processing using Hadoop MapReduce  2
An overview and an Approach for Graph Data Processing using ...
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2nd International Conference on Computing Methodologies and Communication (ICCMC)
作者: Talan, Pooja P. Sharma, Kartik U. PRMCEAM Comp Sci & Engn Badnera India
A very large quantity of data which traditional applications fail to process, leads the world to the era of Big data. With the increase in opportunity and technology scope, Big data also leads to many challenges such ... 详细信息
来源: 评论
A Comparison Study of graph data processing Based on MyBSP and MapReduce
A Comparison Study of Graph Data Processing Based on MyBSP a...
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International Conference on Cloud Computing and Big data (CCBD)
作者: Liu, Chao Yao, Hong Tang, Zhengwang Zeng, Deze Hu, Chengyu Liang, Qingzhong China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China
How to effectively process massive graph data is an intractable challenging issue. In this paper, two types of parallel computation approaches were compared: MapReduce and MyBSP. MyBSP is our open source implementatio... 详细信息
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Powerful graph neural network for node classification of the IoT network
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INTERNET OF THINGS 2024年 28卷
作者: Sejan, Mohammad Abrar Shakil Rahman, Md Habibur Aziz, Md Abdul Tabassum, Rana Baik, Jung-In Song, Hyoung-Kyu Sejong Univ Dept Elect Engn 209 Neungdong Ro Seoul 05006 South Korea Sejong Univ Dept Informat & Commun Engn 209 Neungdong Ro Seoul 05006 South Korea Sejong Univ Dept Convergence Engn Intelligent Drone 209 Neungdong Ro Seoul 05006 South Korea
Internet of Things (IoT) devices are increasingly used in various applications in our daily lives. The network structure for IoT is heterogeneous and can create a complex architecture depending on the application and ... 详细信息
来源: 评论
GTA: graph Transformer Adapter  20th
GTA: Graph Transformer Adapter
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20th International Conference on Intelligent Computing (ICIC)
作者: Chen, Ke He, XinYang Zhong, Yong Peng, Cheng Chinese Acad Sci Chengdu Inst Comp Applicat Chengdu Peoples R China Univ Chinese Acad Sci Beijing Peoples R China
Recent advancements in Natural Language processing (NLP) through pre-trained language models (PLMs) have significantly enhanced various computational tasks. However, their application to graph-structured data, particu... 详细信息
来源: 评论
Kylin: An Efficient and Scalable graph data processing System
Kylin: An Efficient and Scalable Graph Data Processing Syste...
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IEEE International Conference on Big data (Big data)
作者: Ho, Li-Yung Li, Tsung-Han Wu, Jan-Jan Liu, Pangfeng Natl Taiwan Univ Dept Comp Sci & Informat Engn Taipei 10764 Taiwan Acad Sinica Informat Technol Innovat Res Ctr Inst Informat Sci Taipei Taiwan Natl Taiwan Univ Grad Inst Networking & Multimedia Dept Comp Sci & Informat Engn Taipei Taiwan
We introduce Kylin, an efficient and scalable graph data processing system. Kylin is based on bulk synchronization processing(BSP) model to process graph data. Although there have been some BSP-based graph processing ... 详细信息
来源: 评论
High performance GPU primitives for graph-tensor learning operations
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JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING 2021年 148卷 125-137页
作者: Zhang, Tao Kan, Wang Liu, Xiao-Yang Shanghai Univ Sch Comp Engn & Sci Shanghai Peoples R China Columbia Univ Dept Elect Engn New York NY 10027 USA Shanghai Univ Shanghai Engn Res Ctr Intelligent Comp Syst Shanghai Peoples R China
graph-tensor learning operations extend tensor operations by taking the graph structure into account, which have been applied to diverse domains such as image processing and machine learning. However, the running time... 详细信息
来源: 评论
Survey of external memory large-scale graph processing on a multi-core system
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JOURNAL OF SUPERCOMPUTING 2020年 第1期76卷 549-579页
作者: Huang, Jianqiang Qin, Wei Wang, Xiaoying Chen, Wenguang Tsinghua Univ Dept Comp Sci & Technol Beijing 100084 Peoples R China Qinghai Univ Dept Comp Technol & Applicat Xining 810016 Qinghai Peoples R China
The fast development of big data computing contributes to the fact that large-scale graph processing has become a basic computing model in both academic and industrial communities, and it has been applied in many actu... 详细信息
来源: 评论
Scaling Iterative graph Computations with graphMap  15
Scaling Iterative Graph Computations with GraphMap
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International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
作者: Lee, Kisung Liu, Ling Schwan, Karsten Pu, Calton Zhang, Qi Zhou, Yang Yigitoglu, Emre Yuan, Pingpeng Louisiana State Univ Baton Rouge LA 70803 USA Georgia Inst Technol Atlanta GA 30332 USA Huazhong Univ Sci & Technol Wuhan Peoples R China
In recent years, systems researchers have devoted considerable effort to the study of large-scale graph processing. Existing distributed graph processing systems such as Pregel, based solely on distributed memory for ... 详细信息
来源: 评论