Graph neural networks for natural language processing: A survey L Wu, Y Chen, K Shen, X Guo, H Gao, S Li, J Pei, B Long Foundations and Trends® in Machine Learning 16 (2), 119-328, 2023 | 307 | 2023 |
Graph-to-tree neural networks for learning structured input-output translation with applications to semantic parsing and math word problem S Li, L Wu, S Feng, F Xu, F Xu, S Zhong arXiv preprint arXiv:2004.13781, 2020 | 76 | 2020 |
SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection S Li, R Wang, H Wu, S Zhong, F Xu Proceedings of the 31st ACM International Conference on Multimedia, 8881-8890, 2023 | 34 | 2023 |
Towards Automated Safety Vetting of Smart Contracts in Decentralized Applications Y Duan, X Zhao, Y Pan, S Li, M Li, F Xu, M Zhang Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 17 | 2022 |
Dataset Preparation for Arbitrary Object Detection: An Automatic Approach based on Web Information in English S Li, B Chang, B Yang, H Wu, S Zhong, F Xu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 2 | 2023 |
Multi-Label and Evolvable Dataset Preparation for Web-Based Object Detection S Li, J Zhu, B Chang, H Wu, F Xu, S Zhong ACM Transactions on Knowledge Discovery from Data, 0 | | |