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

Block Modeling-Guided Graph Convolutional Neural Networks. - Dongxiao He; Chundong Liang; Huixin Liu; Mingxiang Wen; Pengfei Jiao; Zhiyong Feng 002 (AAAI, 2022)

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)

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)

Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection. - Zhizhi Yu; Chundong Liang; Xinglong Chang; Dongxiao He; Di Jin 001; Jianguo Wei (AAAI, 2025)