| Deep multi-view spatial-temporal network for taxi demand prediction H Yao, F Wu, J Ke, X Tang, Y Jia, S Lu, P Gong, J Ye, Z Li AAAI Conference on Artificial Intelligence, 2018, 2018 | 1382 | 2018 |
| Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction H Yao, X Tang, H Wei, G Zheng, Y Yu, Z Li AAAI Conference on Artificial Intelligence, 2019, 2019 | 1064* | 2019 |
| Graph Structure Learning for Robust Graph Neural Networks W Jin, Y Ma, X Liu, X Tang, S Wang, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 740 | 2020 |
| Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach Y Sun, S Wang, X Tang, TY Hsieh, V Honavar Proceedings of the Web Conference 2020, 673-683, 2020 | 277* | 2020 |
| Learning from multiple cities: A meta-learning approach for spatial-temporal prediction H Yao, Y Liu, Y Wei, X Tang, Z Li The world wide web conference, 2181-2191, 2019 | 267 | 2019 |
| A simple baseline for travel time estimation using large-scale trip data H Wang, X Tang, YH Kuo, D Kifer, Z Li ACM Transactions on Intelligent Systems and Technology (TIST) 10 (2), 1-22, 2019 | 265 | 2019 |
| Transferring Robustness for Graph Neural Network Against Poisoning Attacks X Tang, Y Li, Y Sun, H Yao, P Mitra, S Wang ACM International Conference on Web Search and Data Mining (WSDM), 2020 | 204* | 2020 |
| Investigating and mitigating degree-related biases in graph convoltuional networks X Tang, H Yao, Y Sun, Y Wang, J Tang, C Aggarwal, P Mitra, S Wang Proceedings of the 29th ACM International Conference on Information …, 2020 | 164 | 2020 |
| Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values X Tang, H Yao, Y Sun, C Aggarwal, P Mitra, S Wang AAAI Conference on Artificial Intelligence (AAAI), 2020 | 156 | 2020 |
| Condensing graphs via one-step gradient matching W Jin, X Tang, H Jiang, Z Li, D Zhang, J Tang, B Yin Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 103 | 2022 |
| MEGAN: a generative adversarial network for multi-view network embedding Y Sun, S Wang, TY Hsieh, X Tang, V Honavar IJCAI'19 Proceedings of the 28th International Joint Conference on …, 2019 | 56 | 2019 |
| Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps X Tang, Y Liu, N Shah, X Shi, P Mitra, S Wang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 47 | 2020 |
| Joint modeling of dense and incomplete trajectories for citywide traffic volume inference X Tang, B Gong, Y Yu, H Yao, Y Li, H Xie, X Wang The World Wide Web Conference, 1806-1817, 2019 | 46 | 2019 |
| Amazon-m2: A multilingual multi-locale shopping session dataset for recommendation and text generation W Jin, H Mao, Z Li, H Jiang, C Luo, H Wen, H Han, H Lu, Z Wang, R Li, ... Advances in Neural Information Processing Systems 36, 8006-8026, 2023 | 41 | 2023 |
| Graph chain-of-thought: Augmenting large language models by reasoning on graphs B Jin, C Xie, J Zhang, KK Roy, Y Zhang, Z Li, R Li, X Tang, S Wang, ... arXiv preprint arXiv:2404.07103, 2024 | 38 | 2024 |
| Layer-constrained variational autoencoding kernel density estimation model for anomaly detection P Lv, Y Yu, Y Fan, X Tang, X Tong Knowledge-Based Systems 196, 105753, 2020 | 34 | 2020 |
| Jointly attacking graph neural network and its explanations W Fan, H Xu, W Jin, X Liu, X Tang, S Wang, Q Li, J Tang, J Wang, ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 654-667, 2023 | 32 | 2023 |
| Homodistil: Homotopic task-agnostic distillation of pre-trained transformers C Liang, H Jiang, Z Li, X Tang, B Yin, T Zhao arXiv preprint arXiv:2302.09632, 2023 | 32 | 2023 |
| Semi-supervised graph-to-graph translation T Zhao, X Tang, X Zhang, S Wang Proceedings of the 29th ACM International Conference on Information …, 2020 | 30 | 2020 |
| Task-agnostic graph explanations Y Xie, S Katariya, X Tang, E Huang, N Rao, K Subbian, S Ji Advances in neural information processing systems 35, 12027-12039, 2022 | 29 | 2022 |
Suhang WangPennsylvania State UniversityПодтвержден адрес электронной почты в домене psu.edu