| Learning dynamic context graphs for predicting social events S Deng, H Rangwala, Y Ning Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 100 | 2019 |
| Dynamic knowledge graph based multi-event forecasting S Deng, H Rangwala, Y Ning Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 91 | 2020 |
| Cola-gnn: Cross-location attention based graph neural networks for long-term ili prediction S Deng, S Wang, H Rangwala, L Wang, Y Ning Proceedings of the 29th ACM international conference on information …, 2020 | 84 | 2020 |
| Graph message passing with cross-location attentions for long-term ili prediction S Deng, S Wang, H Rangwala, L Wang, Y Ning arXiv preprint arXiv:1912.10202, 2019 | 25 | 2019 |
| Understanding event predictions via contextualized multilevel feature learning S Deng, H Rangwala, Y Ning Proceedings of the 30th ACM International Conference on Information …, 2021 | 15 | 2021 |
| Neural network evolving algorithm based on the triplet codon encoding method X Yang, S Deng, M Ji, J Zhao, W Zheng Genes 9 (12), 626, 2018 | 5 | 2018 |
| Causality enhanced societal event forecasting with heterogeneous graph learning S Deng, H Rangwala, Y Ning 2022 IEEE International Conference on Data Mining (ICDM), 91-100, 2022 | 3 | 2022 |
| Robust Event Forecasting with Spatiotemporal Confounder Learning S Deng, H Rangwala, Y Ning Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 3 | 2022 |
| A survey on societal event forecasting with deep learning S Deng, Y Ning arXiv preprint arXiv:2112.06345, 2021 | 2 | 2021 |
| Causal Knowledge Guided Societal Event Forecasting S Deng, H Rangwala, Y Ning arXiv preprint arXiv:2112.05695, 2021 | 2 | 2021 |
| Exploration of a mechanism to form bionic, self-growing and self-organizing neural network X Yang, G Liu, S Deng, Z Wei, H He, Y Shang, N Deng Artificial Intelligence Review 52, 585-605, 2019 | 2 | 2019 |
| SimGCL: Graph Contrastive Learning by Finding Homophily in Heterophily C Liu, C Yu, N Gui, Z Yu, S Deng Knowledge and Information Systems, 2023 | 1 | 2023 |
| Domain Generalization for Time Series Forecasting S Deng, O Sprangers, M Li, S Schelter, M de Rijke ACM Transactions on Knowledge Discovery from Data, 2024 | | 2024 |
| Noise-guided Unsupervised Outlier Detection Z Wan, Y LiAC, Y Lei, T Xu, S Deng, J Li, N Gui | | 2023 |
| Modeling and Understanding Societal Events via Graph Neural Networks S Deng Stevens Institute of Technology, 2022 | | 2022 |
