Universal Graph Convolutional Networks. - Di Jin 001; Zhizhi Yu; Cuiying Huo; Rui Wang 102; Xiao Wang 017; Dongxiao He; Jiawei Han 001 (NeurIPS, 2021)

Heterogeneous Graph Neural Network via Attribute Completion. - Di Jin 001; Cuiying Huo; Chundong Liang; Liang Yang 002 (WWW, 2021)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Di Jin 001; Cuiying Huo; Jianwu Dang 001; Peican Zhu; Weixiong Zhang; Witold Pedrycz; Lingfei Wu 001 (CoRR, 2022)

T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation. - Cuiying Huo; Di Jin 001; Yawen Li 001; Dongxiao He; Yu-Bin Yang; Lingfei Wu 001 (AAAI, 2023)

Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. - Di Jin 001; Zhiqiang Wang; Cuiying Huo; Zhizhi Yu; Dongxiao He; Yuxiao Huang (KSEM (4), 2023)

KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks. - Zhizhi Yu; Di Jin 001; Cuiying Huo; Zhiqiang Wang; Xiulong Liu; Heng Qi; Jia Wu 001; Lingfei Wu 001 (WWW, 2023)

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning. - Dongxiao He; Jitao Zhao; Cuiying Huo; Yongqi Huang; Yuxiao Huang; Zhiyong Feng 002 (AAAI, 2024)

Graph Collaborative Expert Finding with Contrastive Learning. - Qiyao Peng 001; Wenjun Wang 002; Hongtao Liu; Cuiying Huo; Minglai Shao 001 (IJCAI, 2024)

Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning. - Dongxiao He; Chundong Liang; Cuiying Huo; Zhiyong Feng 002; Di Jin 001; Liang Yang 002; Weixiong Zhang (IEEE Trans. Neural Networks Learn. Syst., 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), 2024)

TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature. - Cuiying Huo; Dongxiao He; Chundong Liang; Di Jin 001; Tie Qiu 001; Lingfei Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation. - Songyuan Lei; Xinglong Chang; Zhizhi Yu; Dongxiao He; Cuiying Huo; Jianrong Wang; Di Jin 001 (AAAI, 2025)

LLGformer: Learnable Long-range Graph Transformer for Traffic Flow Prediction. - Di Jin 001; Cuiying Huo; Jiayi Shi; Dongxiao He; Jianguo Wei; Philip S. Yu (WWW, 2025)

PEPT: Expert Finding Meets Personalized Pre-Training. - Qiyao Peng 001; Hongyan Xu 001; Yinghui Wang; Hongtao Liu; Cuiying Huo; Wenjun Wang 002 (ACM Trans. Inf. Syst., 2025)

Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning. - Cuiying Huo; Dongxiao He; Yawen Li 001; Di Jin 001; Jianwu Dang 001; Witold Pedrycz; Lingfei Wu 001; Weixiong Zhang (ACM Trans. Intell. Syst. Technol., 2025)

Distill & Contrast: A New Graph Self-Supervised Method With Approximating Nature Data Relationships. - Dongxiao He; Jitao Zhao; Rui Guo; Zhiyong Feng 002; Cuiying Huo; Di Jin 001; Witold Pedrycz; Weixiong Zhang (IEEE Trans. Knowl. Data Eng., 2025)