| Dynamic Network Embedding by Modeling Triadic Closure Process L Zhou, Y Yang, X Ren, F Wu, Y Zhuang AAAI, 2018 | 534 | 2018 |
| Reinforcement Learning for Relation Classification from Noisy Data J Feng, M Huang, L Zhao, Y Yang, X Zhu Proceedings of AAAI, 2018 | 392 | 2018 |
| Inferring user demographics and social strategies in mobile social networks Y Dong, Y Yang, J Tang, Y Yang, NV Chawla Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 249 | 2014 |
| RAIN: Social role-aware information diffusion Y Yang, J Tang, C Leung, Y Sun, Q Chen, J Li, Q Yang Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), 2015 | 136 | 2015 |
| GAKE: Graph aware knowledge embedding J Feng, M Huang, Y Yang Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 117 | 2016 |
| BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment X Tang, J Zhang, B Chen, Y Yang, H Chen, C Li | 111* | |
| How do your friends on social media disclose your emotions? Y Yang, J Jia, S Zhang, B Wu, Q Chen, J Li, C Xing, J Tang AAAI 14, 1-7, 2014 | 110 | 2014 |
| PatentMiner: topic-driven patent analysis and mining J Tang, B Wang, Y Yang, P Hu, Y Zhao, X Yan, B Gao, M Huang, P Xu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 110 | 2012 |
| Collaborative Filtering with Social Exposure: A Modular Approach to Social Recommendation M Wang, X Zheng, Y Yang, K Zhang arXiv preprint arXiv:1711.11458, 2017 | 73 | 2017 |
| Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets. Z Cheng, Y Yang, W Wang, W Hu, Y Zhuang, G Song AAAI, 3617-3624, 2020 | 61 | 2020 |
| Learning fair representations via an adversarial framework R Feng, Y Yang, Y Lyu, C Tan, Y Sun, C Wang arXiv preprint arXiv:1904.13341, 2019 | 59 | 2019 |
| Representation Learning for Scale-free Networks R Feng, Y Yang, W Hu, F Wu, Y Zhuang arXiv preprint arXiv:1711.10755, 2017 | 54 | 2017 |
| Social Role-Aware Emotion Contagion in Image Social Networks. Y Yang, J Jia, B Wu, J Tang AAAI, 65-71, 2016 | 52 | 2016 |
| DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection X Huang, Y Yang, Y Wang, C Wang, Z Zhang, J Xu, L Chen NeurIPS 2023, 0 | 52* | |
| Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks Y Yang, Y Xu, Y Sun, Y Dong, F Wu, YT Zhuang IEEE Transactions on Knowledge and Data Engineering, 2019 | 49 | 2019 |
| Entity Matching across Heterogeneous Sources Y Yang, Y Sun, J Tang, B Ma, J Li Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 49 | 2015 |
| Graphllm: Boosting graph reasoning ability of large language model Z Chai, T Zhang, L Wu, K Han, X Hu, X Huang, Y Yang arXiv preprint arXiv:2310.05845, 2023 | 42 | 2023 |
| Can Abnormality be Detected by Graph Neural Networks? Z Chai, S You, Y Yang, S Pu, J Xu, H Cai, W Jiang | 42* | |
| Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Q Zheng, X Zou, Y Dong, Y Cen, D Yin, J Xu, Y Yang, J Tang arXiv preprint arXiv:2111.04314, 2021 | 41 | 2021 |
| Mining competitive relationships by learning across heterogeneous networks Y Yang, J Tang, J Keomany, Y Zhao, J Li, Y Ding, T Li, L Wang Proceedings of the 21st ACM international conference on Information and …, 2012 | 40 | 2012 |
Yueting ZhuangProfessor of Computer Science, Zhejiang University在 zju.edu.cn 的电子邮件经过验证
