| All in One: Multi-Task Prompting for Graph Neural Networks X Sun, H Cheng, J Li, B Liu, J Guan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 158 | 2023 |
| Multi-level graph convolutional networks for cross-platform anchor link prediction H Chen, H Yin, X Sun, T Chen, B Gabrys, K Musial Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 158 | 2020 |
| Heterogeneous hypergraph embedding for graph classification X Sun, H Yin, B Liu, H Chen, J Cao, Y Shao, NQ Viet Hung Proceedings of the 14th ACM international conference on web search and data …, 2021 | 132 | 2021 |
| Who am I? Personality detection based on deep learning for texts X Sun, B Liu, J Cao, J Luo, X Shen 2018 IEEE international conference on communications (ICC), 1-6, 2018 | 118 | 2018 |
| Temporal meta-path guided explainable recommendation H Chen, Y Li, X Sun, G Xu, H Yin Proceedings of the 14th ACM international conference on web search and data …, 2021 | 97 | 2021 |
| A survey of graph meets large language model: Progress and future directions Y Li, Z Li, P Wang, J Li, X Sun, H Cheng, JX Yu arXiv preprint arXiv:2311.12399, 2023 | 69 | 2023 |
| Hyperbolic hypergraphs for sequential recommendation Y Li, H Chen, X Sun, Z Sun, L Li, L Cui, PS Yu, G Xu Proceedings of the 30th ACM international conference on information …, 2021 | 68 | 2021 |
| Graph prompt learning: A comprehensive survey and beyond X Sun, J Zhang, X Wu, H Cheng, Y Xiong, J Li arXiv preprint arXiv:2311.16534, 2023 | 48 | 2023 |
| Self-supervised hypergraph representation learning for sociological analysis X Sun, H Cheng, B Liu, J Li, H Chen, G Xu, H Yin IEEE Transactions on Knowledge and Data Engineering 35 (11), 11860-11871, 2023 | 47 | 2023 |
| Unsupervised graph poisoning attack via contrastive loss back-propagation S Zhang, H Chen, X Sun, Y Li, G Xu Proceedings of the ACM Web Conference 2022, 1322-1330, 2022 | 46 | 2022 |
| Nowhere to hide: Online rumor detection based on retweeting graph neural networks B Liu, X Sun, Q Meng, X Yang, Y Lee, J Cao, J Luo, RKW Lee IEEE Transactions on Neural Networks and Learning Systems, 2022 | 46 | 2022 |
| Group-level personality detection based on text generated networks X Sun, B Liu, Q Meng, J Cao, J Luo, H Yin World Wide Web 23, 1887-1906, 2020 | 42 | 2020 |
| Multi-level hyperedge distillation for social linking prediction on sparsely observed networks X Sun, H Yin, B Liu, H Chen, Q Meng, W Han, J Cao Proceedings of the Web Conference 2021, 2934-2945, 2021 | 40 | 2021 |
| Context-aware social media user sentiment analysis B Liu, S Tang, X Sun, Q Chen, J Cao, J Luo, S Zhao Tsinghua Science and Technology 25 (4), 528-541, 2020 | 37 | 2020 |
| All in one and one for all: A simple yet effective method towards cross-domain graph pretraining H Zhao, A Chen, X Sun, H Cheng, J Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 31 | 2024 |
| Structure learning via meta-hyperedge for dynamic rumor detection X Sun, H Yin, B Liu, Q Meng, J Cao, A Zhou, H Chen IEEE Transactions on Knowledge and Data Engineering, 2022 | 31 | 2022 |
| Graph masked autoencoders with transformers S Zhang, H Chen, H Yang, X Sun, PS Yu, G Xu arXiv preprint arXiv:2202.08391, 2022 | 25 | 2022 |
| Event-based incremental recommendation via factors mixed Hawkes process Z Cui, X Sun, L Pan, S Liu, G Xu Information Sciences 639, 119007, 2023 | 22 | 2023 |
| Co-Detection of crowdturfing microblogs and spammers in online social networks B Liu, X Sun, Z Ni, J Cao, J Luo, B Liu, X Fu World Wide Web 23, 573-607, 2020 | 21 | 2020 |
| Generating counterfactual hard negative samples for graph contrastive learning H Yang, H Chen, S Zhang, X Sun, Q Li, X Zhao, G Xu Proceedings of the ACM Web Conference 2023, 621-629, 2023 | 20 | 2023 |
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandVerified email at uq.edu.au