HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks C Xu, H Huang, X Ying, J Gao, Z Li, P Zhang, J Xiao, J Zhang, J Luo Information Sciences 607, 783-798, 2022 | 33 | 2022 |
Graph-based stock recommendation by time-aware relational attention network J Gao, X Ying, C Xu, J Wang, S Zhang, Z Li ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-21, 2021 | 33 | 2021 |
Time-aware graph relational attention network for stock recommendation X Ying, C Xu, J Gao, J Wang, Z Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 31 | 2020 |
Dual-augment graph neural network for fraud detection Q Li, Y He, C Xu, F Wu, J Gao, Z Li Proceedings of the 31st ACM International Conference on Information …, 2022 | 19 | 2022 |
Pattern adaptive specialist network for learning trading patterns in stock market H Huang, J Gao, C Xu, X Ying Proceedings of the 31st ACM International Conference on Information …, 2022 | 2 | 2022 |
Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network J Gao, C Xu, H Huang, X Ying, Z Li, P Zhang, J Xiao, J Zhang, J Luo IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021 | | 2021 |