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Jia Wu

Macquarie University

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Mar 17, 2023
Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu

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* 12 pages,5 figures, accepted by WWW2023

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KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks

Feb 22, 2023
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu

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* Accepted by WWW-23

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A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Feb 18, 2023
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun

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* 97 pages, 16 figures

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A Survey on Graph Neural Networks for Graph Summarization

Feb 13, 2023
Nasrin Shabani, Jia Wu, Amin Beheshti, Jin Foo, Ambreen Hanif, Maryam Shahabikargar

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* 9 pages, 2 figures, 1 table, IJCAI Conference

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A Comprehensive Survey on Automatic Knowledge Graph Construction

Feb 10, 2023
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, Xindong Wu

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* This paper contains 50 pages and 22 figures. This paper is submitted to ACM Computing Surveys

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Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks

Jan 04, 2023
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang

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* Accepted by the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)

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Mining User-aware Multi-Relations for Fake News Detection in Large Scale Online Social Networks

Dec 21, 2022
Xing Su, Jian Yang, Jia Wu, Yuchen Zhang

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* Accepted by the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023)

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