| Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 987 | 2019 |
| A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ... Proceedings of the AAAI Conference on Artificial Intelligence 33, 1409-1416, 2019 | 607 | 2019 |
| Dynamics of information diffusion and its applications on complex networks ZK Zhang, C Liu, XX Zhan, X Lu, CX Zhang, YC Zhang Physics Reports 651, 1-34, 2016 | 378 | 2016 |
| Collaborative User Network Embedding for Social Recommender Systems C Zhang, L Yu, Y Wang, C Shah, X Zhang Proceedings of the 2017 SIAM International Conference on Data Mining, 381-389, 2017 | 217* | 2017 |
| Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla Proceedings of the AAAI conference on artificial intelligence 34 (03), 3041-3048, 2020 | 150 | 2020 |
| Graph few-shot learning via knowledge transfer H Yao, C Zhang, Y Wei, M Jiang, S Wang, J Huang, N Chawla, Z Li Proceedings of the AAAI conference on artificial intelligence 34 (04), 6656-6663, 2020 | 133 | 2020 |
| Shne: Representation learning for semantic-associated heterogeneous networks C Zhang, A Swami, NV Chawla Proceedings of the twelfth ACM international conference on web search and …, 2019 | 103 | 2019 |
| Multi-order attentive ranking model for sequential recommendation L Yu, C Zhang, S Liang, X Zhang Proceedings of the AAAI conference on artificial intelligence 33 (01), 5709-5716, 2019 | 99 | 2019 |
| Mist: A multiview and multimodal spatial-temporal learning framework for citywide abnormal event forecasting C Huang, C Zhang, J Zhao, X Wu, D Yin, N Chawla The world wide web conference, 717-728, 2019 | 95 | 2019 |
| Few-shot graph learning for molecular property prediction Z Guo, C Zhang, W Yu, J Herr, O Wiest, M Jiang, NV Chawla Proceedings of the web conference 2021, 2559-2567, 2021 | 94 | 2021 |
| Epidemic spreading on weighted complex networks Y Sun, C Liu, CX Zhang, ZK Zhang Physics Letters A 378 (7-8), 635-640, 2014 | 83 | 2014 |
| Online purchase prediction via multi-scale modeling of behavior dynamics C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 78 | 2019 |
| Walkranker: A unified pairwise ranking model with multiple relations for item recommendation L Yu, C Zhang, S Pei, G Sun, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 53 | 2018 |
| Camel: Content-aware and meta-path augmented metric learning for author identification C Zhang, C Huang, L Yu, X Zhang, NV Chawla Proceedings of the 2018 World Wide Web Conference, 709-718, 2018 | 53 | 2018 |
| Information filtering via collaborative user clustering modeling CX Zhang, ZK Zhang, L Yu, C Liu, H Liu, XY Yan Physica A: Statistical Mechanics and its Applications 396, 195-203, 2014 | 50 | 2014 |
| Hierarchically structured transformer networks for fine-grained spatial event forecasting X Wu, C Huang, C Zhang, NV Chawla Proceedings of The Web Conference 2020, 2320-2330, 2020 | 44 | 2020 |
| Emergence of blind areas in information spreading ZK Zhang*, CX Zhang*, XP Han, C Liu PloS one 9 (4), e95785, 2014 | 32 | 2014 |
| Sail: Self-augmented graph contrastive learning L Yu, S Pei, L Ding, J Zhou, L Li, C Zhang, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8927-8935, 2022 | 27 | 2022 |
| Deep dynamic fusion network for traffic accident forecasting C Huang, C Zhang, P Dai, L Bo Proceedings of the 28th ACM international conference on information and …, 2019 | 27 | 2019 |
| Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. C Zhang, L Yu, X Zhang, NV Chawla IJCAI, 3641-3647, 2018 | 24 | 2018 |
