| Multi-scale attributed node embedding B Rozemberczki, C Allen, R Sarkar Journal of Complex Networks 9 (2), cnab014, 2021 | 798 | 2021 |
| Gemsec: Graph embedding with self clustering B Rozemberczki, R Davies, R Sarkar, C Sutton IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2019 | 353 | 2019 |
| Characteristic functions on graphs: Birds of a feather, from statistical descriptors to parametric models B Rozemberczki, R Sarkar Proceedings of the 29th ACM international conference on information …, 2020 | 331 | 2020 |
| Distributed submodular maximization: Identifying representative elements in massive data B Mirzasoleiman, A Karbasi, R Sarkar, A Krause Advances in Neural Information Processing Systems 26, 2013 | 307 | 2013 |
| Karate Club: an API oriented open-source python framework for unsupervised learning on graphs B Rozemberczki, O Kiss, R Sarkar Proceedings of the 29th ACM international conference on information …, 2020 | 239 | 2020 |
| Low distortion delaunay embedding of trees in hyperbolic plane R Sarkar International symposium on graph drawing, 355-366, 2011 | 236 | 2011 |
| Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models B Rozemberczki, P Scherer, Y He, G Panagopoulos, A Riedel, ... Proceedings of the 30th ACM international conference on information …, 2021 | 206 | 2021 |
| Double rulings for information brokerage in sensor networks R Sarkar, X Zhu, J Gao Proceedings of the 12th annual international conference on mobile computing …, 2006 | 198 | 2006 |
| The shapley value in machine learning B Rozemberczki, L Watson, P Bayer, HT Yang, O Kiss, S Nilsson, ... arXiv preprint arXiv:2202.05594, 2022 | 181 | 2022 |
| A semi-supervised learning approach for robust indoor-outdoor detection with smartphones V Radu, P Katsikouli, R Sarkar, MK Marina Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems …, 2014 | 164 | 2014 |
| Greedy routing with guaranteed delivery using ricci flows R Sarkar, X Yin, J Gao, F Luo, XD Gu 2009 International Conference on Information Processing in Sensor Networks …, 2009 | 134 | 2009 |
| Distributed submodular maximization B Mirzasoleiman, A Karbasi, R Sarkar, A Krause The Journal of Machine Learning Research 17 (1), 8330-8373, 2016 | 98 | 2016 |
| Light-weight contour tracking in wireless sensor networks X Zhu, R Sarkar, J Gao, JSB Mitchell IEEE INFOCOM 2008-The 27th Conference on Computer Communications, 1175-1183, 2008 | 82 | 2008 |
| Fast sequence-based embedding with diffusion graphs B Rozemberczki, R Sarkar Complex Networks IX: Proceedings of the 9th Conference on Complex Networks …, 2018 | 80 | 2018 |
| Resilient routing for sensor networks using hyperbolic embedding of universal covering space W Zeng, R Sarkar, F Luo, X Gu, J Gao 2010 Proceedings IEEE INFOCOM, 1-9, 2010 | 65 | 2010 |
| Shape segmentation and applications in sensor networks X Zhu, R Sarkar, J Gao IEEE INFOCOM 2007-26th IEEE International Conference on Computer …, 2007 | 63 | 2007 |
| Hierarchical spatial gossip for multi-resolution representations in sensor networks R Sarkar, X Zhu, J Gao Proceedings of the 6th international conference on Information processing in …, 2007 | 58 | 2007 |
| 3D Biomimetic Tongue-Emulating Surfaces for Tribological Applications E Andablo-Reyes, M Bryant, A Neville, P Hyde, R Sarkar, M Francis, ... ACS Applied Materials and Interfaces 12 (44), 49371–49385, 2020 | 56 | 2020 |
| Differential forms for target tracking and aggregate queries in distributed networks R Sarkar, J Gao The 16th Annual International Conference on Mobile Computing and Networking …, 2010 | 53 | 2010 |
| Twitch gamers: a dataset for evaluating proximity preserving and structural role-based node embeddings B Rozemberczki, R Sarkar arXiv preprint arXiv:2101.03091, 2021 | 50 | 2021 |
Jie GaoProfessor of Computer Science, Rutgers University在 cs.rutgers.edu 的电子邮件经过验证
