| 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 | 1595 | 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 | 954 | 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 | 454 | 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 | 259* | 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 | 241 | 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 | 202 | 2020 |
| 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 | 189 | 2021 |
| Multi-modal self-supervised learning for recommendation W Wei, C Huang, L Xia, C Zhang Proceedings of the ACM Web Conference 2023, 790-800, 2023 | 132 | 2023 |
| 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 | 130 | 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 | 120 | 2019 |
| Self-supervised hypergraph transformer for recommender systems L Xia, C Huang, C Zhang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 119 | 2022 |
| 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 | 117 | 2019 |
| 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 | 104 | 2019 |
| Heterogeneous graph masked autoencoders Y Tian, K Dong, C Zhang, C Zhang, NV Chawla Proceedings of the AAAI conference on artificial intelligence 37 (8), 9997-10005, 2023 | 98 | 2023 |
| Epidemic spreading on weighted complex networks Y Sun, C Liu, CX Zhang, ZK Zhang Physics Letters A 378 (7-8), 635-640, 2014 | 88 | 2014 |
| Graph-based molecular representation learning Z Guo, K Guo, B Nan, Y Tian, RG Iyer, Y Ma, O Wiest, X Zhang, W Wang, ... arXiv preprint arXiv:2207.04869, 2022 | 81 | 2022 |
| Learning mlps on graphs: A unified view of effectiveness, robustness, and efficiency Y Tian, C Zhang, Z Guo, X Zhang, N Chawla The Eleventh International Conference on Learning Representations, 2022 | 75 | 2022 |
| 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 | 68 | 2020 |
| 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 | 67 | 2018 |
| Heterogeneous temporal graph neural network Y Fan, M Ju, C Zhang, Y Ye Proceedings of the 2022 SIAM international conference on data mining (SDM …, 2022 | 64 | 2022 |
