Self-Supervised Graph Representation Learning via Global Context Prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (CoRR, 2020)

A new self-supervised task on graphs: Geodesic distance prediction. - Zhen Peng 005; Yixiang Dong; Minnan Luo; Xiao-Ming Wu 003; Qinghua Zheng (Inf. Sci., 2022)

LookCom: Learning Optimal Network for Community Detection. - Yixiang Dong; Minnan Luo; Jundong Li; Deng Cai 001; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2022)

Dual-channel graph contrastive learning for self-supervised graph-level representation learning. - Zhenfei Luo; Yixiang Dong; Qinghua Zheng; Huan Liu 012; Minnan Luo (Pattern Recognit., 2023)

Heterogeneous graph attention network with motif clique. - Chenxu Wang 003; Minnan Luo; Zhen Peng 005; Yixiang Dong; Huaping Liu 001 (Neurocomputing, 2023)

Interest-driven community detection on attributed heterogeneous information networks. - Mengyue Liu; Jun Liu 002; Yixiang Dong; Rui Mao 010; Erik Cambria (Inf. Fusion, 2024)

Semi-Supervised Graph Contrastive Learning With Virtual Adversarial Augmentation. - Yixiang Dong; Minnan Luo; Jundong Li; Ziqi Liu; Qinghua Zheng (IEEE Trans. Knowl. Data Eng., 2024)