Cong Xu

According to our database, Cong Xu authored at least 7 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Revisiting low-homophily for graph-based fraud detection.

Tairan Huang, Qiutong Li, Cong Xu, Jianliang Gao, Zhao Li, Shichao Zhang

Neural Networks, 2025

2022

Graph-Based Stock Recommendation by Time-Aware Relational Attention Network.

Jianliang Gao, Xiaoting Ying, Cong Xu, Jianxin Wang, Shichao Zhang, Zhao Li

ACM Trans. Knowl. Discov. Data, 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, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo

Inf. Sci., 2022

Dual-Augment Graph Neural Network for Fraud Detection.

Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market.

Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Predicting Price-Limit-Hitting Stocks with Hierarchical Graph Neural Network.

Jianliang Gao, Cong Xu, Huiling Huang, Xiaoting Ying, Zhao Li, Peng Zhang, Jie Xiao, Jiarun Zhang, Jiangjian Luo

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

2020

Time-aware Graph Relational Attention Network for Stock Recommendation.

Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020