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1. HashGrid: An optimized architecture for accelerating graph computing on FPGAs NSTL国家科技图书文献中心

Amin Sahebi |  Marco Procaccini... -  《Future generations computer systems》 - 2025,162(Jan.) - 107497.1~107497.15 - 共15页

摘要:, which is crucial in large-sale graph computing | Large-scale graph processing poses challenges |  accelerating graph processing using Field Programmable Gate |  optimized graph partitioning technique for execution on |  processing elements responsible for the graph algorithm
关键词: Big graph computing |  High-performance computing |  FPGA design |  Large-scale graph |  Graph partitioning

2. Efficient Partitioning Algorithms for Optimizing Big Graph Computation NSTL国家科技图书文献中心

Baoling Ning |  Yupeng Gao -  《Computing and Combinatorics,Part II》 -  International Computing and Combinatorics Conference - 2025, - 202~213 - 共12页

摘要: problem in the area of big graph computation. In this |  paper, motivated by optimizing the big data computing | Graph partitioning is a key fundamental |  graph partitioning are studied. The first one is to |  optimize the performance of specific workloads by graph
关键词: Graph partitioning |  Bi-criteria approximation algorithm |  Semidefinite programming

3. Tensor Representation-Based Multiview Graph Contrastive Learning for IoE Intelligence NSTL国家科技图书文献中心

Yuan Gao |  Qian Zhao... -  《IEEE internet of things journal》 - 2025,12(4) - 3482~3492 - 共11页

摘要:As a prevalent computing paradigm, graph |  computing provides an effective service strategy for the |  analysis of big data within the Internet of Everything |  (IoE), particularly for clustering graph-structured |  data in the IoE. Among various methods, graph
关键词: Tensors |  Internet of Things |  Representation learning |  Clustering algorithms |  Task analysis |  Topology |  Clustering methods

4. Dual-Structural Representation Learning with Attention-Based Graph Fusion for Hierarchical MCI-AD Diagnosis NSTL国家科技图书文献中心

Yu Cao |  Hongzhi Kuai... -  《Brain Informatics,Part I》 -  International Conference on Brain Informatics - 2025, - 151~163 - 共13页

摘要: representation and fusion computing via attention-based graph | The integration of AI, big data, and magnetic |  Representation Learning with Attention-Based Graph Fusion |  attention-based graph representation fusion unit is |  resonance imaging (MRI) has significantly advanced
关键词: Brain informatics |  Evidence combination and fusion computing |  DS-AGF model |  Mild cognitive impairment |  Alzheimer |  S disease |  Hierarchical diagnosis |  Representation learning |  Attention-based graph fusion

5. Overview of Graph Theoretical Approaches in Medical Image Segmentation NSTL国家科技图书文献中心

Yan Xu |  Fengyuan Liu... -  《Computational and Experimental Simulations in Engineering,Volume 3》 -  International Conference on Computational & Experimental Engineering and Sciences - 2025, - 819~836 - 共18页

摘要: computing technology and the onset of the big data era |  endeavours. Among various techniques, the graph theoretical |  comprehensive overview of essential graph theoretical | , graph cuts, Markov random fields, and shortest path | In the wake of the accelerated advancements in
关键词: Image segmentation |  Graph theoretical approach |  Medical

6. Embedded YOLO v8: Real-time detection of sugarcane nodes in complex natural environments by rapid structural pruning method NSTL国家科技图书文献中心

Hu, Shanshan |  Tang, Guoxin... -  《Measurement》 - 2025,242PE - 116291~ - 共14页

摘要: computing pressure to the embedded device for sugarcane |  method based on DepGraph (Dependency Graph) was adopted |  of big-small step size to quickly achieve the | In the exploring of sugarcane intelligent |  harvesting technology, the target detection task of
关键词: YOLO |  Real-time detection |  Structural pruning |  Lightweight |  Sugarcane node

7. Affordable HPC: Leveraging Small Clusters for Big Data and Graph Computing NSTL国家科技图书文献中心

Ruilong WU |  Yisu Wang... -  《2024 International Symposium on Parallel Computing and Distributed Systems》 -  International Symposium on Parallel Computing and Distributed Systems - 2024, - 1~9 - 共9页

摘要: computing clusters. It delves into the comparative costs |  scheduling. Furthermore, a Graph Neural Network (GNN |  in computing networks. | This study explores strategies for academic re | -searchers to optimize computational resources within
关键词: Costs |  Systematics |  Network topology |  Switches |  Parallel processing |  Graph neural networks |  Hardware |  Topology |  Computational efficiency |  Distributed computing

8. Design and Implementation of New Energy Technology Innovation Panoramic Monitoring System Based on Big Data Mining and Knowledge Graph Computing NSTL国家科技图书文献中心

Yuzhong Zhou |  Yuliang Yang... -  《2024 IEEE 2nd International Conference on Image Processing and Computer Applications》 -  IEEE International Conference on Image Processing and Computer Applications - 2024, - 1248~1252 - 共5页

摘要: graph technology. With rich semantic representation |  establishing knowledge graph of new energy operation | This paper proposes a new energy operation |  monitoring and analysis system design based on knowledge |  ability and flexible structure, this paper constructs an
关键词: Technological innovation |  Soft sensors |  Operating systems |  Semantics |  Knowledge graphs |  Power industry |  Power grids |  Maintenance |  Monitoring |  System analysis and design

9. On the use of big data frameworks in big service management NSTL国家科技图书文献中心

Fedia Ghedass |  Faouzi Ben Charrada -  《Journal of Software: Evolution and Process》 - 2024,36(7) - e2642-1~e2642-28 - 共28页

摘要: lifecycle process. We combine autonomic computing and big |  manages big service's related data using knowledge graph | Over the last few years, big data have emerged |  cloud computing, service computing, and Internet of |  Things, big data processing takes advantage of the
关键词: Autonomic computing |  Big service |  Big service management |  Distributed representation learning |  Knowledge graph |  MapReduce

10. Design of a Mobile Big Data Processing-Based Sports Health Evaluation System Using Graph Neural Network NSTL国家科技图书文献中心

Jin Zhou |  Lei Tian -  《IEEE Access》 - 2024,12 - 48997~49006 - 共10页

摘要: computing framework, a sports big data processing platform |  big data can be employed as the resource support for |  design of a mobile big data processing-based sports |  health evaluation system, with adopting the graph |  all, a Zigbee-based mobile big data integration
关键词: Sports |  Big Data |  Media |  Graph neural networks |  Wireless communication |  Industries |  Data models |  Medical services |  Deep learning |  Data analysis...
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