HyperX: A Scalable Hypergraph Framework-Reference-Cited by-同舟云学术

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HyperX: A Scalable Hypergraph Framework

Published:2019-05-01 Issue:5 Volume:31 Page:909-922
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Jiang Wenkai^ORCID,Qi Jianzhong^ORCID,Yu Jeffrey Xu^ORCID,Huang Jin,Zhang Rui^ORCID

Funder

Australian Research Council

ARC Future Fellowships Projects

Research Grants Council of the Hong Kong SAR, China

School of Computing and Information Systems

University of Melbourne

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/8680720/08391739.pdf?arnumber=8391739

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Partitioner Selection with EASE to Optimize Distributed Graph Processing;2023 IEEE 39th International Conference on Data Engineering (ICDE);2023-04

2. PhGraph: A High-Performance ReRAM-Based Accelerator for Hypergraph Applications;IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems;2023

3. AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models;IEEE Transactions on Knowledge and Data Engineering;2023

4. Efficient Approximate Calculations and Application of Network Centrality;Lecture Notes in Electrical Engineering;2023

5. Large Scale Hypergraph Computation;Artificial Intelligence: Foundations, Theory, and Algorithms;2023

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