An Enterprise Competitiveness Assessment Method Based on Ensemble Learning. - Yaomin Chang; Yuzheng Li; Chuan Chen 001; Bin Cao; Zhenxing Li (WISA, 2019)

SGCL: Contrastive Representation Learning for Signed Graphs. - Lin Shu; Erxin Du; Yaomin Chang; Chuan Chen 001; Zibin Zheng; Xingxing Xing; Shaofeng Shen (CIKM, 2021)

Robust graph convolutional networks with directional graph adversarial training. - Weibo Hu; Chuan Chen 001; Yaomin Chang; Zibin Zheng; Yunfei Du (Appl. Intell., 2021)

Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation. - Zhebin Wu; Lin Shu; Ziyue Xu 002; Yaomin Chang; Chuan Chen 001; Zibin Zheng (KDD, 2022)

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chuan Chen 001; Yaomin Chang; Lin Shu; Zibin Zheng (CoRR, 2022)

HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning. - Ziyang Zhang; Chuan Chen 001; Yaomin Chang; Weibo Hu; Zibin Zheng; Yuren Zhou; Lei Sun (Expert Syst. Appl., 2022)

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning. - Yaomin Chang; Chuan Chen 001; Weibo Hu; Zibin Zheng; Xiaocong Zhou; Shouzhi Chen (Knowl. Based Syst., 2022)

GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service. - Yaomin Chang; Lin Shu; Erxin Du; Chuan Chen 001; Ziyang Zhang; Zibin Zheng; Yuzhao Huang; Xingxing Xing (Knowl. Based Syst., 2022)

SHNE: Semantics and Homophily Preserving Network Embedding. - Ziyang Zhang; Chuan Chen 001; Yaomin Chang; Weibo Hu; Xingxing Xing; Yuren Zhou; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2023)

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. - Taolin Zhang 003; Chengyuan Mai; Yaomin Chang; Chuan Chen 001; Lin Shu; Zibin Zheng (ACM Trans. Knowl. Discov. Data, 2024)

Enhanced Scalable Graph Neural Network via Knowledge Distillation. - Chengyuan Mai; Yaomin Chang; Chuan Chen 001; Zibin Zheng (IEEE Trans. Neural Networks Learn. Syst., 2025)