Yaomin Chang

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning

Yaomin Chang, Chuan Chen, Weibo Hu et al. · Knowledge-Based Systems · 2021 · 80 citations

Heterogeneous Graph Representation, Graph Neural Network, Network Science +11

SGCL

Lin Shu, Erxin Du, Yaomin Chang et al. · 2021 · 30 citations

Graph Representation Learning, Machine Learning, Engineering +18

Robust graph convolutional networks with directional graph adversarial training

Weibo Hu, Chuan Chen, Yaomin Chang et al. · Applied Intelligence · 2021 · 22 citations

Graph Neural Network, Network Science, Graph Theory +4

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs

Taolin Zhang, Chengyuan Mai, Yaomin Chang et al. · ACM Transactions on Knowledge Discovery from Data · 2023 · 22 citations

Graph Representation Learning, Machine Learning, Engineering +21

Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation

Zhebin Wu, Lin Shu, Ziyue Xu et al. · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 2022 · 19 citations

Geometric Learning, Graph Representation Learning, Machine Learning +16