| Harp: Hierarchical representation learning for networks H Chen, B Perozzi, Y Hu, S Skiena Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 283 | 2018 |
| Don't Walk, Skip! Online learning of multi-scale network embeddings B Perozzi, V Kulkarni, H Chen, S Skiena Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 215* | 2017 |
| A tutorial on network embeddings H Chen, B Perozzi, R Al-Rfou, S Skiena arXiv preprint arXiv:1808.02590, 2018 | 86 | 2018 |
| Predicting movie box-office revenues by exploiting large-scale social media content T Liu, X Ding, Y Chen, H Chen, M Guo Multimedia Tools and Applications 75 (3), 1509-1528, 2016 | 80 | 2016 |
| Fast and accurate network embeddings via very sparse random projection H Chen, SF Sultan, Y Tian, M Chen, S Skiena Proceedings of the 28th ACM international conference on information and …, 2019 | 22 | 2019 |
| Enhanced network embeddings via exploiting edge labels H Chen, X Sun, Y Tian, B Perozzi, M Chen, S Skiena Proceedings of the 27th ACM International Conference on Information and …, 2018 | 15 | 2018 |
| Learning to represent bilingual dictionaries M Chen, Y Tian, H Chen, KW Chang, S Skiena, C Zaniolo arXiv preprint arXiv:1808.03726, 2018 | 8 | 2018 |
| Pseudo-implicit feedback for alleviating data sparsity in top-k recommendation Y He, H Chen, Z Zhu, J Caverlee 2018 IEEE International Conference on Data Mining (ICDM), 1025-1030, 2018 | 6 | 2018 |
| Social relation inference via label propagation Y Tian, H Chen, B Perozzi, M Chen, X Sun, S Skiena European Conference on Information Retrieval, 739-746, 2019 | 5 | 2019 |
| Deepbrowse: similarity-based browsing through large lists H Chen, AR Anantharam, S Skiena International Conference on Similarity Search and Applications, 300-314, 2017 | 2 | 2017 |
| Why do embedding spaces look as they do? X Guo, B Zhou, H Chen, S Verstyuk, S Skiena | | 2021 |
Steven SkienaProfessor of Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
