Guangqi Wen

According to our database, Guangqi Wen authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

2024

Capturing Temporal Node Evolution via Self-supervised Learning: A New Perspective on Dynamic Graph Learning.

Lingwen Liu, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Graph Self-Supervised Learning With Application to Brain Networks Analysis.

Guangqi Wen, Peng Cao, Lingwen Liu, Jinzhu Yang, Xizhe Zhang, Fei Wang, Osmar R. Zaïane

IEEE J. Biomed. Health Informatics, August, 2023

Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.

Lanting Li, Guangqi Wen, Peng Cao, Xiaoli Liu, Osmar R. Zaïane, Jinzhu Yang

Int. J. Comput. Assist. Radiol. Surg., April, 2023

A unified framework of graph structure learning, graph generation and classification for brain network analysis.

Peng Cao, Guangqi Wen, Wenju Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Appl. Intell., March, 2023

BrainTGL: A dynamic graph representation learning model for brain network analysis.

Lingwen Liu, Guangqi Wen, Peng Cao, Tianshun Hong, Jinzhu Yang, Xizhe Zhang, Osmar R. Zaïane

Comput. Biol. Medicine, February, 2023

Exploring attention mechanism for graph similarity learning.

Wenhui Tan, Xin Gao, Yiyang Li, Guangqi Wen, Peng Cao, Jinzhu Yang, Weiping Li, Osmar R. Zaïane

Knowl. Based Syst., 2023

MS-SSD: multi-scale single shot detector for ship detection in remote sensing images.

Guangqi Wen, Peng Cao, Haonan Wang, Hanlin Chen, Xiaoli Liu, Jinghui Xu, Osmar R. Zaïane

Appl. Intell., 2023

BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.

Pengshuai Zhang, Guangqi Wen, Peng Cao, Jinzhu Yang, Jinyu Zhang, Xizhe Zhang, Xinrong Zhu, Osmar R. Zaïane, Fei Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Time-Variant-Aware Link Prediction in Dynamic Graph Through Self-supervised Learning.

Guangqi Wen, Peng Cao, Zhiyong Jin, Ruoxian Song, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022

TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis.

Lanting Li, Hao Jiang, Guangqi Wen, Peng Cao, MingYi Xu, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Neuroinformatics, 2022

Modeling the dynamic brain network representation for autism spectrum disorder diagnosis.

Peng Cao, Guangqi Wen, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane

Medical Biol. Eng. Comput., 2022

Collaborative learning of graph generation, clustering and classification for brain networks diagnosis.

Wenju Yang, Guangqi Wen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane

Comput. Methods Programs Biomed., 2022

MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis.

Guangqi Wen, Peng Cao, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaïane

Comput. Biol. Medicine, 2022

DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation.

Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li

Proceedings of the ICMLSC 2022: The 6th International Conference on Machine Learning and Soft Computing, Haikou, China, January 15, 2022

2021

Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks.

Peng Cao, Guangqi Wen, Lanting Li, Xiaoli Liu, Jinzhu Yang, Osmar Zaïane

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021