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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

FlexMiner: A Pattern-Aware Accelerator for Graph Pattern Mining
Xuhao Chen, Tianhao Huang, Shuotao Xu, et al.
(2021), pp. 581-594
Closed Access | Times Cited: 25

Showing 25 citing articles:

DIMMining
Guohao Dai, Zhenhua Zhu, Tianyu Fu, et al.
(2022)
Open Access | Times Cited: 24
HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA
Hanning Chen, Ali Zakeri, Fei Wen, et al.
(2023), pp. 34-41
Closed Access | Times Cited: 6
A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction
Zhijie Zhang, Yujie Lu, Weiguo Zheng, et al.
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 1, pp. 1-29
Closed Access | Times Cited: 2
LSGraph: A Locality-centric High-performance Streaming Graph Engine
Hao Qi, Y. Wu, Ligang He, et al.
(2024), pp. 33-49
Closed Access | Times Cited: 2
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
Mingi Yoo, Jaeyong Song, Jounghoo Lee, et al.
(2023), pp. 1-14
Open Access | Times Cited: 6
GraphINC: Graph Pattern Mining at Network Speed
Rana Hussein, Alberto Lerner, André Ryser, et al.
Proceedings of the ACM on Management of Data (2023) Vol. 1, Iss. 2, pp. 1-28
Open Access | Times Cited: 5
NDMiner
Nishil Talati, Haojie Ye, Yichen Yang, et al.
(2022)
Closed Access | Times Cited: 8
Enhancing Graph Random Walk Acceleration via Efficient Dataflow and Hybrid Memory Architecture
Yingxue Gao, Teng Wang, Lei Gong, et al.
IEEE Transactions on Computers (2024) Vol. 73, Iss. 3, pp. 887-901
Closed Access | Times Cited: 1
Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs
Hongtai Cao, Qihao Wang, Xiaodong Li, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2972-2985
Closed Access | Times Cited: 1
Software Systems Implementation and Domain-Specific Architectures towards Graph Analytics
Hai Jin, Hao Qi, Jin Zhao, et al.
Intelligent Computing (2022) Vol. 2022
Open Access | Times Cited: 6
Seizing the Bandwidth Scaling of On-Package Interconnect in a Post-Moore's Law World
Grigory Chirkov, David Wentzlaff
(2023), pp. 410-422
Open Access | Times Cited: 3
SDMA: An Efficient and Flexible Sparse-Dense Matrix-Multiplication Architecture for GNNs
Yingxue Gao, Lei Gong, Chao Wang, et al.
(2022), pp. 307-312
Closed Access | Times Cited: 5
TCStream: Large-Scale Graph Triangle-Counting on a single Machine using GPUs
Jianqiang Huang, Haojie Wang, Xiang Fei, et al.
IEEE Transactions on Parallel and Distributed Systems (2021), pp. 1-1
Open Access | Times Cited: 7
GAMMA: A Graph Pattern Mining Framework for Large Graphs on GPU
Lin Hu, Lei Zou, M. TAMER ÖZSU
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 273-286
Closed Access | Times Cited: 2
PSMiner: A Pattern-Aware Accelerator for High-Performance Streaming Graph Pattern Mining
Hao Qi, Yu Zhang, Ligang He, et al.
(2023), pp. 1-6
Open Access | Times Cited: 2
Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network
Linyong Huang, Zhe Zhang, Shuangchen Li, et al.
IEEE Access (2022) Vol. 10, pp. 46796-46807
Open Access | Times Cited: 4
The Case For Data Centre Hyperloops
Guillem López-Paradı́s, Isaac M. Hair, Sid Kannan, et al.
(2024), pp. 230-244
Closed Access
Trapezoid: A Versatile Accelerator for Dense and Sparse Matrix Multiplications
Yifan Yang, Joel Emer, Daniel Sánchez
(2024), pp. 931-945
Closed Access
A graph pattern mining framework for large graphs on GPU
Lin Hu, Yinnian Lin, Lei Zou, et al.
The VLDB Journal (2024) Vol. 34, Iss. 1
Closed Access
Fast Community Detection in Graphs with Infomap Method using Accelerated Sparse Accumulation
Md Abdul Motaleb Faysal, Maximilian Bremer, Shaikh Arifuzzaman, et al.
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) (2023), pp. 601-610
Closed Access | Times Cited: 1
GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs
Juelin Liu, Sandeep Polisetty, Hui Guan, et al.
(2023), pp. 211-224
Open Access | Times Cited: 1
Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing
Vinícius Dias, Samuel Ferraz, Aditya Vadlamani, et al.
(2023), pp. 224-233
Closed Access | Times Cited: 1
Slice-and-Forge
Mingi Yoo, Jaeyong Song, Hyeyoon Lee, et al.
(2022), pp. 40-53
Open Access | Times Cited: 2
A GPU-based Graph Pattern Mining System
Lin Hu, Lei Zou
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Closed Access | Times Cited: 1
Exploiting the Potential of Flexible Processing Units
Mateo Vázquez, Muhammad Waqar Azhar, Pedro Trancoso
(2023), pp. 34-45
Closed Access
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