| A shapley value-based approach to discover influential nodes in social networks R Narayanam, Y Narahari IEEE Transactions on Automation Science and Engineering, 1-18, 2011 | 482 | 2011 |
| Game Theoretic Problems in Network Economics and Mechanism Design Solutions Y NARAHARI, D Garg, R Narayanam, H Prakash | 272* | 2009 |
| Determining the top-k nodes in social networks using the shapley value R Narayanam, Y Narahari Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 133 | 2008 |
| Game of gradients: Mitigating irrelevant clients in federated learning L Nagalapatti, R Narayanam Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 9046-9054, 2021 | 91 | 2021 |
| Link Label Prediction in Signed Social Networks. P Agrawal, VK Garg, R Narayanam IJCAI, 2591-2597, 2013 | 66 | 2013 |
| Computational analysis of connectivity games with applications to the investigation of terrorist networks T Michalak, T Rahwan, PL Szczepanski, O Skibski, R Narayanam, ... | 62 | 2013 |
| A game theory inspired, decentralized, local information based algorithm for community detection in social graphs R Narayanam, Y Narahari Proceedings of the 21st international conference on pattern recognition …, 2012 | 48 | 2012 |
| Discovering signature of electronic social networks D Garg, R Narayanam US Patent 9,654,593, 2017 | 46 | 2017 |
| Viral marketing for product cross-sell through social networks R Narayanam, AA Nanavati Joint European Conference on Machine Learning and Knowledge Discovery in …, 2012 | 34 | 2012 |
| Is your data relevant?: Dynamic selection of relevant data for federated learning L Nagalapatti, RS Mittal, R Narayanam Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7859-7867, 2022 | 27 | 2022 |
| Topologies of strategically formed social networks based on a generic value function—Allocation rule model R Narayanam, Y Narahari Social Networks 33 (1), 56-69, 2011 | 27 | 2011 |
| Beyond node embedding: a direct unsupervised edge representation framework for homogeneous networks S Bandyopadhyay, A Biswas, MN Murty, R Narayanam arXiv preprint arXiv:1912.05140, 2019 | 24 | 2019 |
| A Shapley value-based approach to determine gatekeepers in social networks with applications R Narayanam, O Skibski, H Lamba, T Michalak ECAI 2014, 651-656, 2014 | 21 | 2014 |
| Near Optimal Strategies for Targeted Marketing in Social Networks. R Pasumarthi, R Narayanam, B Ravindran AAMAS, 1679-1680, 2015 | 20 | 2015 |
| Game theoretic models for social network analysis N Yadati, R Narayanam Proceedings of the 20th international conference companion on World wide web …, 2011 | 17 | 2011 |
| Discovering signature of electronic social networks D Garg, R Narayanam US Patent 10,965,775, 2021 | 15 | 2021 |
| Bug resolution catalysts: Identifying essential non-committers from bug repositories S Mani, S Nagar, D Mukherjee, R Narayanam, VS Sinha, AA Nanavati 2013 10th Working Conference on Mining Software Repositories (MSR), 193-202, 2013 | 14 | 2013 |
| A generic axiomatic characterization for measuring influence in social networks S Bandyopadhyay, R Narayanam, MN Murty 2018 24th international conference on pattern recognition (icpr), 2606-2611, 2018 | 13 | 2018 |
| Ranking data slices for ML model validation: A shapley value approach E Farchi, R Narayanam, L Nagalapatti 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1937-1942, 2021 | 12 | 2021 |
| Media enhancement with customized add-on content M Goyal, R Narayanam, K Narayanam, R Ezry US Patent 10,929,909, 2021 | 12 | 2021 |
Y. NARAHARIHonorary Professor, Computer Science and Automation, Indian Institute of Science, BengaluruVerifisert e-postadresse på iisc.ac.in