Time-aware Graph Relational Attention Network for Stock Recommendation. - Xiaoting Ying; Cong Xu; Jianliang Gao; Jianxin Wang 001; Zhao Li 007 (CIKM, 2020)

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network. - Jianliang Gao; Cong Xu; Huiling Huang; Xiaoting Ying; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (WI/IAT (Workshop/Special Session), 2021)

Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. - Huiling Huang; Jianliang Gao; Cong Xu; Xiaoting Ying (CIKM, 2022)

HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks. - Cong Xu; Huiling Huang; Xiaoting Ying; Jianliang Gao; Zhao Li 007; Peng Zhang 001; Jie Xiao 005; Jiarun Zhang; Jiangjian Luo (Inf. Sci., 2022)

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network. - Jianliang Gao; Xiaoting Ying; Cong Xu; Jianxin Wang 001; Shichao Zhang 001; Zhao Li 007 (ACM Trans. Knowl. Discov. Data, 2022)

Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. - Jianliang Gao; Jun Gao; Xiaoting Ying; Mingming Lu; Jian-Xin Wang 001 (IEEE Trans. Knowl. Data Eng., 2023)