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Cuiying Huo
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2020 – today
- 2024
- [j3]Dongxiao He
, Chundong Liang
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4438-4450 (2024) - [j2]Cuiying Huo
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14205-14217 (2024) - [j1]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): 44 (2024) - [c7]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: 12340-12348 - [c6]Qiyao Peng, Wenjun Wang, Hongtao Liu, Cuiying Huo, Minglai Shao:
Graph Collaborative Expert Finding with Contrastive Learning. IJCAI 2024: 2288-2296 - 2023
- [c5]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: 4339-4346 - [c4]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: 56-68 - [c3]Zhizhi Yu
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. WWW 2023: 727-736 - [i4]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 abs/2302.11396 (2023) - 2022
- [i3]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 abs/2205.00256 (2022) - [i2]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 abs/2205.12784 (2022) - [i1]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 abs/2212.12738 (2022) - 2021
- [c2]Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han:
Universal Graph Convolutional Networks. NeurIPS 2021: 10654-10664 - [c1]Di Jin, Cuiying Huo, Chundong Liang, Liang Yang:
Heterogeneous Graph Neural Network via Attribute Completion. WWW 2021: 391-400
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