Learning Distilled Graph for Large-Scale Social Network Data Clustering-Reference-Cited by-同舟云学术

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Learning Distilled Graph for Large-Scale Social Network Data Clustering

Published:2020-07-01 Issue:7 Volume:32 Page:1393-1404
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Liu Wenhe^ORCID,Gong Dong^ORCID,Tan Mingkui,Shi Javen Qinfeng,Yang Yi^ORCID,Hauptmann Alexander G.

Funder

Intelligence Advanced Research Projects Activity

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/9108388/08663296.pdf?arnumber=8663296

Cited by 4 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. A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation;IEEE Transactions on Knowledge and Data Engineering;2024-09

2. An Enhanced K‐Means Algorithm for Large Data Clustering in Social Media Networks;Artificial Intelligence for Sustainable Applications;2023-09-05

3. Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering;IEEE Transactions on Neural Networks and Learning Systems;2022

4. A Technical Review and Framework Design for Influence Extraction from Social Networks;Proceedings of International Conference on Deep Learning, Computing and Intelligence;2022

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