| metapath2vec: Scalable Representation Learning for Heterogeneous Networks Y Dong, NV Chawla, A Swami Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 731 | 2017 |
| 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 | 345 | 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 | 237 | 2012 |
| 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 | 187 | 2014 |
| 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 | 129* | 2018 |
| 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 | 123 | 2013 |
| 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 | 81 | 2015 |
| 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 | 78 | 2015 |
| Can scientific impact be predicted? Y Dong, RA Johnson, NV Chawla IEEE Transactions on Big Data 2 (1), 18-30, 2016 | 63 | 2016 |
| 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 arXiv preprint arXiv:2005.00687, 2020 | 54 | 2020 |
| 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 | 48 | 2017 |
| Inferring unusual crowd events from mobile phone call detail records Y Dong, F Pinelli, Y Gkoufas, Z Nabi, F Calabrese, NV Chawla Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015 | 47 | 2015 |
| 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 | 37 | 2019 |
| Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun Proceedings of The Web Conference 2020, 2704-2710, 2020 | 29 | 2020 |
| Neural Tensor Factorization for Temporal Interaction Learning X Wu, B Shi, Y Dong, C Huang, NV Chawla Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 27* | 2019 |
| A novel genetic algorithm for overlapping community detection Y Cai, C Shi, Y Dong, Q Ke, B Wu International Conference on Advanced Data Mining and Applications, 97-108, 2011 | 27 | 2011 |
| 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 | 24 | 2020 |
| 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 | 23 | 2019 |
| Will Triadic Closure Strengthen Ties in Social Networks? H Huang, Y Dong, J Tang, NV Chawla, X Fu ACM Transactions on Knowledge Discovery from Data (TKDD), 2018 | 21 | 2018 |
| Predicting node degree centrality with the node prominence profile Y Yang, Y Dong, NV Chawla Scientific reports 4 (1), 1-7, 2014 | 21 | 2014 |
Nitesh V ChawlaFrank Freimann Professor of Computer Science & Engg., Notre DameVerified email at nd.edu
