Higher-Order Graph Convolutional Embedding for Temporal Networks. - Xian Mo; Jun Pang 001; Zhiming Liu 001 (WISE (1), 2020)

Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding. - Xian Mo; Jun Pang 001; Zhiming Liu 001 (Comput. J., 2021)

THS-GWNN: a deep learning framework for temporal network link prediction. - Xian Mo; Jun Pang 001; Zhiming Liu 001 (Frontiers Comput. Sci., 2022)

Effective attributed network embedding with information behavior extraction. - Ganglin Hu; Jun Pang 001; Xian Mo (PeerJ Comput. Sci., 2022)

An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor. - Zhenbo Yuan; Yongqi Ge; Jiayuan Wei; Shuhua Yuan; Rui Liu 023; Xian Mo (ICA3PP (6), 2023)

Structural Equivariance Self-Supervised Learning for Facial Pose Estimation. - Yaoxing Wang; Heng Zhou; Zhendong Li; Xian Mo; Hao Liu 019 (ICME, 2023)

A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment. - Shuyu Jiang; Yunxiang Qiu; Xian Mo; Rui Tang; Wei Wang 070 (CoRR, 2023)

Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation. - Chenyang Wang 004; Zhendong Li; Xian Mo; Xiaofen Tang; Hao Liu 019 (IEEE Trans. Inf. Forensics Secur., 2023)

A relation-aware heterogeneous graph convolutional network for relationship prediction. - Xian Mo; Rui Tang; Hao Liu 019 (Inf. Sci., 2023)

Reinforcement Learning based Battery Energy Neutral Operation for EHWS. - Shuhua Yuan; Yongqi Ge; Jiayuan Wei; Zhenbo Yuan; Rui Liu 023; Xian Mo (CSCWD, 2024)

Attention-based network embedding with higher-order weights and node attributes. - Xian Mo; Binyuan Wan; Rui Tang; Junkai Ding; Guangdi Liu (CAAI Trans. Intell. Technol., 2024)

TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding. - Xian Mo; Binyuan Wan; Rui Tang (Eng. Appl. Artif. Intell., 2024)

Deep autoencoder architecture with outliers for temporal attributed network embedding. - Xian Mo; Jun Pang 001; Zhiming Liu 001 (Expert Syst. Appl., 2024)

Attention-aware graph contrastive learning with topological relationship for recommendation. - Xian Mo; Jun Pang 001; Zihang Zhao (Appl. Soft Comput., 2025)

Intelligible graph contrastive learning with attention-aware for recommendation. - Xian Mo; Zihang Zhao; Xiaoru He; Hang Qi; Hao Liu 019 (Neurocomputing, 2025)

Multi-relational graph contrastive learning with learnable graph augmentation. - Xian Mo; Jun Pang 001; Binyuan Wan; Rui Tang; Hao Liu 019; Shuyu Jiang (Neural Networks, 2025)

An Effective Node Injection Approach for Attacking Social Network Alignment. - Shuyu Jiang; Yunxiang Qiu; Xian Mo; Rui Tang; Wei Wang 070 (IEEE Trans. Inf. Forensics Secur., 2025)

Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach. - Rui Tang; Yiming Peng; Jingxi Li; Xingshu Chen; Yi Zhang; Xian Mo (Peer Peer Netw. Appl., 2025)

Knowledge-aware Diffusion-Enhanced Multimedia Recommendation. - Xian Mo; Fei Liu; Rui Tang; Jintao; Gao; Hao Liu 019 (CoRR, 2025)