Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. - Meng Cao 004; Xiying Ma; Ming Xu 014; Chongjun Wang (ICANN (Workshop), 2019)

MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. - Kai Zhu; Meng Cao 004; Heng-Yang Lu (ICTAI, 2019)

Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. - Meng Cao 004; Xiying Ma; Kai Zhu; Ming Xu 014; Chongjun Wang (IJCNN, 2020)

A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks. - Kai Zhu; Meng Cao 004 (IJCNN, 2020)

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. - Jinliang Yuan; Hualei Yu; Meng Cao 004; Ming Xu 014; Junyuan Xie; Chongjun Wang (CIKM, 2021)

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. - Hualei Yu; Chong Luo; Yuntao Du 001; Hao Cheng 014; Meng Cao 004; Chongjun Wang (DASFAA (1), 2021)

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. - Hualei Yu; Jinliang Yuan; Hao Cheng 014; Meng Cao 004; Chongjun Wang (IJCNN, 2021)

EPINE: Enhanced Proximity Information Network Embedding. - Ming Xu 014; Luoyi Zhang; Baoming Zhang; Meng Cao 004; Jinliang Yuan; Chongjun Wang (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network. - Meng Cao 004; Jinliang Yuan; Ming Xu 014; Hualei Yu; Chongjun Wang (IEEE Access, 2021)

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. - Ming Xu 014; Baoming Zhang; Jinliang Yuan; Meng Cao 004; Chongjun Wang (APWeb/WAIM (1), 2022)

LSEGNN: Encode Local Topology Structure in Graph Neural Networks. - Ming Xu 014; Baoming Zhang; Meng Cao 004; Hualei Yu; Chongjun Wang (IPCCC, 2022)

A unified structure learning framework for graph attention networks. - Jinliang Yuan; Meng Cao 004; Hao Cheng 014; Hualei Yu; Junyuan Xie; Chongjun Wang (Neurocomputing, 2022)

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. - Meng Cao 004; Jianqing Song; Jinliang Yuan; Baoming Zhang; Chongjun Wang (DASFAA (3), 2023)

A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. - Meng Cao 004; Mingcai Chen; Jianqing Song; Chen-Xuan Fang; Chongjun Wang (ECAI, 2023)

Self-supervised short text classification with heterogeneous graph neural networks. - Meng Cao 004; Jinliang Yuan; Hualei Yu; Baoming Zhang; Chongjun Wang (Expert Syst. J. Knowl. Eng., 2023)

Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels. - Jinliang Yuan; Hualei Yu; Meng Cao 004; Jianqing Song; Junyuan Xie; Chongjun Wang (Appl. Intell., 2023)