Kai Yang

11 papers Misc 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Graph-constructed adaptive semantic fusion for heterophilic graph contrastive learning.
Neurocomputing
Kai Yang, Wen Li, Kairong Li
2026 J jnl
Heterogeneous graph neural networks with weak information.
Expert Syst. Appl.
Ce Na, Kai Yang, Xiaobing Sun
2026 J jnl
Knowledge graph contrastive learning for recommendation via knowledge-aware reasoning.
Expert Syst. Appl.
Junyan Guo, Kai Yang, Wenqian Zhao
2026 J jnl
Missing visual modality graph transformer for multi-modal entity alignment.
Pattern Recognit.
Kai Yang, Wenqian Zhao, Junyan Guo, Xiaobing Sun
2025 J jnl
Graph attention contrastive learning with missing modality for multimodal recommendation.
Knowl. Based Syst.
Wenqian Zhao, Kai Yang, Peijin Ding, Ce Na, Wen Li
2025 J jnl
Multi-relational knowledge graph contrastive learning for link prediction.
Data Min. Knowl. Discov.
Wenqian Zhao, Kai Yang, Yuan Liu, Peijin Ding, Zijuan Zhao
2025 J jnl
Structure-augmentation and Attribute-aware Graph Contrastive Learning with Weak Information.
Knowl. Based Syst.
Wen Li, Kai Yang, Kairong Li
2024 J jnl
Heterogeneous Graph Contrastive Learning With Augmentation Graph.
IEEE Trans. Artif. Intell.
Zijuan Zhao, Zequn Zhu, Yuan Liu, Jinli Guo, Kai Yang
2024 J jnl
Local structure-aware graph contrastive representation learning.
Neural Networks
Kai Yang, Yuan Liu, Zijuan Zhao, Peijin Ding, Wenqian Zhao
2023 J jnl
Local Structure-aware Graph Contrastive Representation Learning.
CoRR
Kai Yang, Yuan Liu, Zijuan Zhao, Peijin Ding, Wenqian Zhao
2018 Misc conf
Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.
ICASSP
Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie