| GraphMAE: Self-Supervised Masked Graph Autoencoders Z Hou, X Liu, Y Cen, Y Dong, H Yang, C Wang, J Tang Proceedings of the 28th ACM SIGKDD international conference on knowledge …, 2022 | 510 | 2022 |
| 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 | 490 | 2019 |
| Controllable Multi-Interest Framework for Recommendation Y Cen, J Zhang, X Zou, C Zhou, H Yang, J Tang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 285 | 2020 |
| Towards Knowledge-Based Recommender Dialog System Q Chen, J Lin, Y Zhang, M Ding, Y Cen, H Yang, J Tang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 268 | 2019 |
| Wudaocorpora: A super large-scale chinese corpora for pre-training language models S Yuan, H Zhao, Z Du, M Ding, X Liu, Y Cen, X Zou, Z Yang, J Tang AI Open 2, 65-68, 2021 | 107* | 2021 |
| Graphmae2: A decoding-enhanced masked self-supervised graph learner Z Hou, Y He, Y Cen, X Liu, Y Dong, E Kharlamov, J Tang Proceedings of the ACM web conference 2023, 737-746, 2023 | 81 | 2023 |
| Mask and reason: Pre-training knowledge graph transformers for complex logical queries X Liu, S Zhao, K Su, Y Cen, J Qiu, M Zhang, W Wu, Y Dong, J Tang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 61 | 2022 |
| Cogdl: A comprehensive library for graph deep learning Y Cen, Z Hou, Y Wang, Q Chen, Y Luo, Z Yu, H Zhang, X Yao, A Zeng, ... Proceedings of the ACM Web Conference 2023, 747-758, 2023 | 55* | 2023 |
| 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 | 50 | 2021 |
| Trust relationship prediction in alibaba E-commerce platform Y Cen, J Zhang, G Wang, Y Qian, C Meng, Z Dai, H Yang, J Tang IEEE Transactions on Knowledge and Data Engineering 32 (5), 1024-1035, 2019 | 43 | 2019 |
| Gact: Activation compressed training for generic network architectures X Liu, L Zheng, D Wang, Y Cen, W Chen, X Han, J Chen, Z Liu, J Tang, ... International Conference on Machine Learning, 14139-14152, 2022 | 27 | 2022 |
| Oag-bench: a human-curated benchmark for academic graph mining F Zhang, S Shi, Y Zhu, B Chen, Y Cen, J Yu, Y Chen, L Wang, Q Zhao, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 25 | 2024 |
| SCR: Training Graph Neural Networks with Consistency Regularization C Zhang, Y He, Y Cen, Z Hou, W Feng, Y Dong, X Cheng, H Cai, F He, ... arXiv preprint arXiv:2112.04319, 2021 | 15 | 2021 |
| Automated unsupervised graph representation learning Z Hou, Y Cen, Y Dong, J Zhang, J Tang IEEE Transactions on Knowledge and Data Engineering 35 (3), 2285-2298, 2021 | 12 | 2021 |
| PST-Bench: Tracing and Benchmarking the Source of Publications F Zhang, K Cao, Y Cen, J Yu, D Yin, J Tang arXiv preprint arXiv:2402.16009, 2024 | 9 | 2024 |
| Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Z Yang, M Ding, T Huang, Y Cen, J Song, B Xu, Y Dong, J Tang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 8 | 2024 |
| Batchsampler: Sampling mini-batches for contrastive learning in vision, language, and graphs Z Yang, T Huang, M Ding, Y Dong, R Ying, Y Cen, Y Geng, J Tang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 7 | 2023 |
| MTDiag: an effective multi-task framework for automatic diagnosis Z Hou, Y Cen, Z Liu, D Wu, B Wang, X Li, L Hong, J Tang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14241 …, 2023 | 7 | 2023 |
| Graph representation learning: foundations, methods, applications and systems W Jin, Y Ma, Y Wang, X Liu, J Tang, Y Cen, J Qiu, J Tang, C Shi, Y Ye, ... Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 6 | 2021 |
| Local Clustering Graph Neural Networks J Qiu, Y Cen, Q Chen, C Zhou, J Zhou, H Yang, J Tang | 2 | 2021 |
Tang JieWeBank Chair Professor, Tsinghua UniversityПодтвержден адрес электронной почты в домене tsinghua.edu.cn
