Cuiying Huo

According to our database, Cuiying Huo authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature.

Cuiying Huo, Dongxiao He, Chundong Liang, Di Jin, Tie Qiu, Lingfei Wu

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

Bridging distribution gaps: invariant pattern discovery for dynamic graph learning.

Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen

World Wide Web (WWW), July, 2024

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.

Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang

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

Graph Collaborative Expert Finding with Contrastive Learning.

Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao

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

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning.

Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng

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

2023

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks.

Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu

Proceedings of the ACM Web Conference 2023, 2023

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models.

Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang

Proceedings of the Knowledge Science, Engineering and Management, 2023

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation.

Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu

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

2022

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.

Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu

CoRR, 2022

2021

Heterogeneous Graph Neural Network via Attribute Completion.

Di Jin, Cuiying Huo, Chundong Liang, Liang Yang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Universal Graph Convolutional Networks.

Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021