| metapath2vec: Scalable Representation Learning for Heterogeneous Networks Y Dong, NV Chawla, A Swami Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 1860 | 2017 |
| Open graph benchmark: Datasets for machine learning on graphs W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec Advances in Neural Information Processing Systems 33, 2020 | 1212 | 2020 |
| 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 11th ACM International Conference on Web Search and Data …, 2018 | 815 | 2018 |
| Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun Proceedings of The Web Conference 2020, 2704-2710, 2020 | 583 | 2020 |
| 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 | 479 | 2020 |
| 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 | 438 | 2018 |
| Link prediction and recommendation across heterogeneous social networks Y Dong, J Tang, S Wu, J Tian, NV Chawla, J Rao, H Cao 2012 IEEE 12th International Conference on Data Mining, 181-190, 2012 | 325 | 2012 |
| Microsoft Academic Graph: When experts are not enough K Wang, Z Shen, C Huang, CH Wu, Y Dong, A Kanakia Quantitative Science Studies 1 (1), 396-413, 2020 | 281 | 2020 |
| 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 | 235 | 2014 |
| GPT-GNN: Generative Pre-Training of Graph Neural Networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 230 | 2020 |
| 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, 2020 | 202 | 2020 |
| A link clustering based overlapping community detection algorithm C Shi, Y Cai, D Fu, Y Dong, B Wu Data & Knowledge Engineering 87, 394-404, 2013 | 146 | 2013 |
| NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang The World Wide Web Conference, 1509-1520, 2019 | 141 | 2019 |
| OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs W Hu, M Fey, H Ren, M Nakata, Y Dong, J Leskovec arXiv preprint arXiv:2103.09430, 2021 | 140 | 2021 |
| ProNE: Fast and Scalable Network Representation Learning J Zhang, Y Dong, Y Wang, J Tang, M Ding Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 133 | 2019 |
| A Review of Microsoft Academic Services for Science of Science Studies K Wang, Z Shen, CY Huang, CH Wu, D Eide, Y Dong, J Qian, A Kanakia, ... Frontiers in Big Data 2, 45, 2019 | 128 | 2019 |
| Will this paper increase your h-index?: Scientific impact prediction Y Dong, RA Johnson, NV Chawla Proceedings of the eighth ACM international conference on web search and …, 2015 | 117* | 2015 |
| A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations Y Dong, H Ma, Z Shen, K Wang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 98 | 2017 |
| CoupledLP: Link Prediction in Coupled Networks Y Dong, J Zhang, J Tang, NV Chawla, B Wang Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 97 | 2015 |
| Can scientific impact be predicted? Y Dong, RA Johnson, NV Chawla IEEE Transactions on Big Data 2 (1), 18-30, 2016 | 92 | 2016 |
Tang JieProfessor, Tsinghua UniversityVerified email at tsinghua.edu.cn
