| Arnetminer: extraction and mining of academic social networks J Tang, J Zhang, L Yao, J Li, L Zhang, Z Su Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 2683 | 2008 |
| Self-supervised Learning: Generative or Contrastive X Liu, F Zhang, Z Hou, Z Wang, L Mian, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering, 2021 | 1584 | 2021 |
| Social influence analysis in large-scale networks J Tang, J Sun, C Wang, Z Yang Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 1299 | 2009 |
| GPT understands, too X Liu, Y Zheng, Z Du, M Ding, Y Qian, Z Yang, J Tang AI Open, 2023 | 1257* | 2023 |
| Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 1037 | 2018 |
| GLM: General Language Model Pretraining with Autoregressive Blank Infilling Z Du, Y Qian, X Liu, M Ding, J Qiu, Z Yang, J Tang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 955 | 2022 |
| P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks X Liu, K Ji, Y Fu, W Tam, Z Du, Z Yang, J Tang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 939* | 2022 |
| GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 870 | 2020 |
| Pre-trained models: Past, present and future X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open 2, 225-250, 2021 | 653 | 2021 |
| Cogview: Mastering text-to-image generation via transformers M Ding, Z Yang, W Hong, W Zheng, C Zhou, D Yin, J Lin, X Zou, Z Shao, ... Advances in Neural Information Processing Systems 34, 19822-19835, 2021 | 602 | 2021 |
| RiMOM: A dynamic multistrategy ontology alignment framework J Li, J Tang, Y Li, Q Luo IEEE Transactions on Knowledge and data Engineering 21 (8), 1218-1232, 2008 | 599 | 2008 |
| User-level sentiment analysis incorporating social networks C Tan, L Lee, J Tang, L Jiang, M Zhou, P Li Proceedings of the seventeenth ACM SIGKDD international conference on …, 2011 | 588 | 2011 |
| Deepinf: Social influence prediction with deep learning J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 585 | 2018 |
| Representation learning for attributed multiplex heterogeneous network Y Cen, X Zou, J Zhang, H Yang, J Zhou, J Tang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 446 | 2019 |
| Cross-domain collaboration recommendation J Tang, S Wu, J Sun, H Su Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 390 | 2012 |
| Graph random neural networks for semi-supervised learning on graphs W Feng, J Zhang, Y Dong, Y Han, H Luan, Q Xu, Q Yang, E Kharlamov, ... Advances in neural information processing systems 33, 22092-22103, 2020 | 375 | 2020 |
| Understanding retweeting behaviors in social networks Z Yang, J Guo, K Cai, J Tang, J Li, L Zhang, Z Su Proceedings of the 19th ACM international conference on Information and …, 2010 | 374 | 2010 |
| Inferring Social Ties across Heterogenous Networks J Tang, T Lou, J Kleinberg Proceedings of the fourth ACM international conference on Web search and …, 2012 | 365 | 2012 |
| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Dong, C Wang, J Tang Proceedings of the Twenty-Eighth ACM SIGKDD International Conference on …, 2022 | 354 | 2022 |
| COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency Y Zhang, J Tang, Z Yang, J Pei, PS Yu Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 353 | 2015 |
Juanzi LiTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
