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Yixiang Dong

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2020 – today

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2024
[j5]
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  - journals/inffus/LiuLDMC24
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  - https://dblp.org/rec/journals/inffus/LiuLDMC24
Mengyue Liu, Jun Liu, Yixiang Dong, Rui Mao, Erik Cambria:
Interest-driven community detection on attributed heterogeneous information networks. Inf. Fusion 111: 102525 (2024)
2023
[j4]
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  - journals/ijon/WangLPDL23
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Chenxu Wang, Minnan Luo, Zhen Peng, Yixiang Dong, Huaping Liu:
Heterogeneous graph attention network with motif clique. Neurocomputing 555: 126608 (2023)
[j3]
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  - journals/pr/LuoDZLL23
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Zhenfei Luo, Yixiang Dong, Qinghua Zheng, Huan Liu, Minnan Luo:
Dual-channel graph contrastive learning for self-supervised graph-level representation learning. Pattern Recognit. 139: 109448 (2023)
2022
[j2]
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  - journals/isci/PengDLWZ22
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Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
A new self-supervised task on graphs: Geodesic distance prediction. Inf. Sci. 607: 1195-1210 (2022)
[j1]
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  - journals/tkde/DongLLCZ22
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Yixiang Dong, Minnan Luo, Jundong Li, Deng Cai, Qinghua Zheng:
LookCom: Learning Optimal Network for Community Detection. IEEE Trans. Knowl. Data Eng. 34(2): 764-775 (2022)
2020
[i1]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2003-01604
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Zhen Peng, Yixiang Dong, Minnan Luo, Xiao-Ming Wu, Qinghua Zheng:
Self-Supervised Graph Representation Learning via Global Context Prediction. CoRR abs/2003.01604 (2020)

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