Cuiying Huo

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 12

Top Topics

Graph Representations

Pattern Discovery

Boltzmann Machine

Top Venues

Publications

Dongxiao He, Chundong Liang, Cuiying Huo, Zhiyong Feng, Di Jin, Liang Yang, Weixiong Zhang
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang, Haoran Chen
Bridging distribution gaps: invariant pattern discovery for dynamic graph learning. World Wide Web (WWW) 27 (4) (2024)
Dongxiao He, Jitao Zhao, Cuiying Huo, Yongqi Huang, Yuxiao Huang, Zhiyong Feng
A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. AAAI (2024)
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. CoRR (2023)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. AAAI (2023)
Zhizhi Yu, Di Jin, Cuiying Huo, Zhiqiang Wang, Xiulong Liu, Heng Qi, Jia Wu, Lingfei Wu
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. WWW (2023)
Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. KSEM (4) (2023)
Cuiying Huo, Di Jin, Yawen Li, Dongxiao He, Yu-Bin Yang, Lingfei Wu
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. CoRR (2022)
Cuiying Huo, Di Jin, Chundong Liang, Dongxiao He, Tie Qiu, Lingfei Wu
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature. CoRR (2022)
Di Jin, Cuiying Huo, Jianwu Dang, Peican Zhu, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. CoRR (2022)
Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
Heterogeneous Graph Neural Network via Attribute Completion. WWW (2021)
Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
Universal Graph Convolutional Networks. NeurIPS (2021)