| 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 | 868 | 2019 |
| 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 | 134 | 2020 |
| DeepCrime: Attentive hierarchical recurrent networks for crime prediction C Huang, J Zhang, Y Zheng, NV Chawla Proceedings of the 27th ACM international conference on information and …, 2018 | 127 | 2018 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021 | 95 | 2021 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4486-4493, 2021 | 88 | 2021 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng Proceedings of the AAAI conference on artificial intelligence 35 (17), 15008 …, 2021 | 87 | 2021 |
| 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 | 86 | 2019 |
| Neural tensor factorization for temporal interaction learning X Wu, B Shi, Y Dong, C Huang, NV Chawla Proceedings of the Twelfth ACM international conference on web search and …, 2019 | 85* | 2019 |
| Heterogeneous deep graph infomax Y Ren, B Liu, C Huang, P Dai, L Bo, J Zhang arXiv preprint arXiv:1911.08538, 2019 | 83 | 2019 |
| On robust truth discovery in sparse social media sensing DY Zhang, R Han, D Wang, C Huang 2016 IEEE International Conference on Big Data (Big Data), 1076-1081, 2016 | 76 | 2016 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 74 | 2021 |
| 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 | 71 | 2019 |
| Topic-aware social sensing with arbitrary source dependency graphs C Huang, D Wang 2016 15th ACM/IEEE International Conference on Information Processing in …, 2016 | 60 | 2016 |
| Multiplex behavioral relation learning for recommendation via memory augmented transformer network L Xia*, C Huang*, Y Xu, P Dai, B Zhang, L Bo Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 57 | 2020 |
| Towards scalable and dynamic social sensing using a distributed computing framework DY Zhang, C Zheng, D Wang, D Thain, X Mu, G Madey, C Huang 2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017 | 57 | 2017 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 54 | 2022 |
| Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 53 | 2022 |
| 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 |
| Graph-enhanced multi-task learning of multi-level transition dynamics for session-based recommendation C Huang, J Chen, L Xia, Y Xu, P Dai, Y Chen, L Bo, J Zhao, JX Huang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4123-4130, 2021 | 51 | 2021 |
| Restful: Resolution-aware forecasting of behavioral time series data X Wu, B Shi, Y Dong, C Huang, L Faust, NV Chawla Proceedings of the 27th ACM International Conference on Information and …, 2018 | 51 | 2018 |
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
