Tian, Sheng

5 publications

ECML-PKDD 2024 GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang

ECML-PKDD 2024 Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang

IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

AAAI 2023 Scaling up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

AAAI 2023 Towards Learning to Discover Money Laundering Sub-Network in Massive Transaction Network Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun