| Triadic closure pattern analysis and prediction in social networks H Huang, J Tang, L Liu, JD Luo, X Fu IEEE Transactions on Knowledge and Data Engineering 27 (12), 3374-3389, 2015 | 95 | 2015 |
| DeepScan: Exploiting deep learning for malicious account detection in location-based social networks Q Gong, Y Chen, X He, Z Zhuang, T Wang, H Huang, X Wang, X Fu IEEE Communications Magazine 56 (11), 21-27, 2018 | 89 | 2018 |
| Mining triadic closure patterns in social networks H Huang, J Tang, S Wu, L Liu, X Fu Proceedings of the 23rd international conference on World wide web, 499-504, 2014 | 81 | 2014 |
| Semantic and syntactic enhanced aspect sentiment triplet extraction Z Chen, H Huang, B Liu, X Shi, H Jin arXiv preprint arXiv:2106.03315, 2021 | 64 | 2021 |
| Will triadic closure strengthen ties in social networks? H Huang, Y Dong, J Tang, H Yang, NV Chawla, X Fu ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (3), 1-25, 2018 | 48 | 2018 |
| Outlier-resilient web service qos prediction F Ye, Z Lin, C Chen, Z Zheng, H Huang Proceedings of the Web Conference 2021, 3099-3110, 2021 | 40 | 2021 |
| Motif-preserving temporal network embedding H Huang, Z Fang, X Wang, Y Miao, H Jin Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020 | 35 | 2020 |
| Temporal Heterogeneous Information Network Embedding. H Huang, R Shi, W Zhou, X Wang, H Jin, X Fu IJCAI, 1470-1476, 2021 | 34 | 2021 |
| Multitask representation learning with multiview graph convolutional networks H Huang, Y Song, Y Wu, J Shi, X Xie, H Jin IEEE Transactions on Neural Networks and Learning Systems 33 (3), 983-995, 2020 | 28 | 2020 |
| Enhancing graph neural networks via auxiliary training for semi-supervised node classification Y Wu, Y Song, H Huang, F Ye, X Xie, H Jin Knowledge-Based Systems 220, 106884, 2021 | 24 | 2021 |
| Estimating socioeconomic status via temporal-spatial mobility analysis-a case study of smart card data S Ding, H Huang, T Zhao, X Fu 2019 28th international conference on computer communication and networks …, 2019 | 24 | 2019 |
| Core decomposition and maintenance in weighted graph W Zhou, H Huang, QS Hua, D Yu, H Jin, X Fu World Wide Web 24, 541-561, 2021 | 23 | 2021 |
| A cross-platform consumer behavior analysis of large-scale mobile shopping data H Huang, B Zhao, H Zhao, Z Zhuang, Z Wang, X Yao, X Wang, H Jin, X Fu Proceedings of the 2018 World Wide Web Conference, 1785-1794, 2018 | 20 | 2018 |
| Friend recommendations with self-rescaling graph neural networks X Song, J Lian, H Huang, M Wu, H Jin, X Xie Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
| Modeling information diffusion with sequential interactive hypergraphs H Jin, Y Wu, H Huang, Y Song, H Wei, X Shi IEEE Transactions on Sustainable Computing 7 (3), 644-655, 2022 | 14 | 2022 |
| Predicting individual socioeconomic status from mobile phone data: a semi-supervised hypergraph-based factor graph approach T Zhao, H Huang, X Yao, J Luo, X Fu International Journal of Data Science and Analytics 9, 361-372, 2020 | 14 | 2020 |
| GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability Z Luo, X Song, H Huang, J Lian, C Zhang, J Jiang, X Xie, H Jin arXiv preprint arXiv:2403.04483, 2024 | 13 | 2024 |
| Show me the whole world: Towards entire item space exploration for interactive personalized recommendations Y Song, S Sun, J Lian, H Huang, Y Li, H Jin, X Xie Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 12 | 2022 |
| xgcn: An extreme graph convolutional network for large-scale social link prediction X Song, J Lian, H Huang, Z Luo, W Zhou, X Lin, M Wu, C Li, X Xie, H Jin Proceedings of the ACM Web Conference 2023, 349-359, 2023 | 11 | 2023 |
| Ada-gnn: Adapting to local patterns for improving graph neural networks Z Luo, J Lian, H Huang, H Jin, X Xie Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 11 | 2022 |
