Wang, Baokun

4 publications

ICLR 2024 A Graph Is Worth 1-Bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

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