Yujie Mo

According to our database, Yujie Mo authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unsupervised multi-view graph representation learning with dual weight-net.

Yujie Mo, Heng Tao Shen, Xiaofeng Zhu

Inf. Fusion, 2025

2024

GRLC: Graph Representation Learning With Constraints.

Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Reverse Graph Learning for Graph Neural Network.

Liang Peng, Rongyao Hu, Fei Kong, Jiangzhang Gan, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Multigraph Fusion for Dynamic Graph Convolutional Network.

Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu

IEEE Trans. Neural Networks Learn. Syst., January, 2024

HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters.

Yujie Mo, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang

CoRR, 2024

Multiplex Graph Representation Learning via Bi-level Optimization.

Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Exploring the Role of Node Diversity in Directed Graph Representation Learning.

Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan, Zeyu Zhang, Xiaofeng Zhu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View.

Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Training Based Few-Shot Node Classification by Knowledge Distillation.

Zongqian Wu, Yujie Mo, Peng Zhou, Shangbo Yuan, Xiaofeng Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multiplex Graph Representation Learning Via Dual Correlation Reduction.

Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu

IEEE Trans. Knowl. Data Eng., December, 2023

Disentangled Multiplex Graph Representation Learning.

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the International Conference on Machine Learning, 2023

Multiplex Graph Representation Learning via Common and Private Information Mining.

Yujie Mo, Zongqian Wu, Yuhuan Chen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dementia analysis from functional connectivity network with graph neural networks.

Lujing Wang, Weifeng Yuan, Lu Zeng, Jie Xu, Yujie Mo, Xinxiang Zhao, Liang Peng

Inf. Process. Manag., 2022

Simple Self-supervised Multiplex Graph Representation Learning.

Yujie Mo, Yuhuan Chen, Liang Peng, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-view Unsupervised Graph Representation Learning.

Jiangzhang Gan, Rongyao Hu, Mengmeng Zhan, Yujie Mo, Yingying Wan, Xiaofeng Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity.

Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Simple Unsupervised Graph Representation Learning.

Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

A Hybrid Optimization Approach for Residential Energy Management.

Yantai Huang, Jinjiang Zhang, Yujie Mo, Shuijin Lu, Junchao Ma

IEEE Access, 2020