| Macroscopic quantum information processing using spin coherent states T Byrnes, D Rosseau, M Khosla, A Pyrkov, A Thomasen, T Mukai, ... Optics Communications 337, 102-109, 2015 | 50 | 2015 |
| The Multiple-Orientability Thresholds for Random Hypergraphs† N Fountoulakis, M Khosla, K Panagiotou Combinatorics, Probability and Computing 25 (6), 870-908, 2016 | 45 | 2016 |
| A Comparative Study for Unsupervised Network Representation Learning Methods M Khosla, A Anand, V Setty IEEE Transactions on Knowledge and Data Engineering, 2019 | 41* | 2019 |
| Node representation learning for directed graphs M Khosla, J Leonhardt, W Nejdl, A Anand Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 36 | 2019 |
| User Fairness in Recommender Systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 2018 | 31 | 2018 |
| Balls into Bins made Faster M Khosla Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 2013 | 22 | 2013 |
| Membership Inference Attack on Graph Neural Networks IE Olatunji, W Nejdl, M Khosla IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021 | 16 | 2021 |
| Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks T Funke, M Khosla, A Anand arXiv preprint arXiv:2105.08621, 2021 | 10* | 2021 |
| Boilerplate removal using a neural sequence labeling model J Leonhardt, A Anand, M Khosla Companion Proceedings of the Web Conference 2020, 226-229, 2020 | 10 | 2020 |
| Finding interpretable concept spaces in node embeddings using knowledge bases M Idahl, M Khosla, A Anand Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 10 | 2019 |
| Delusive pagerank in incomplete graphs H Holzmann, A Anand, M Khosla International Conference on Complex Networks and their Applications, 104-117, 2018 | 10 | 2018 |
| Graph-based State Representation for Deep Reinforcement Learning V Waradpande, D Kudenko, M Khosla In Proceedings of 16th International Workshop on Mining and Learning with …, 2020 | 9* | 2020 |
| Message Passing Algorithms M Khosla Master Thesis, 2009 | 7 | 2009 |
| Releasing Graph Neural Networks with Differential Privacy Guarantees IE Olatunji, T Funke, M Khosla arXiv preprint arXiv:2109.08907, 2021 | 5 | 2021 |
| Quantum machine learning of graph-structured data K Beer, M Khosla, J Köhler, TJ Osborne arXiv preprint arXiv:2103.10837, 2021 | 4 | 2021 |
| Revisiting feature selection with data complexity NT Dong, M Khosla 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 4 | 2020 |
| Asynchronous Training of Word Embeddings for Large Text Corpora A Anand, M Khosla, J Singh, JH Zab, Z Zhang In Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 4 | 2019 |
| A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs M Khosla, A Anand Algorithmica, 1-18, 2019 | 4 | 2019 |
| A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big Data, 2022 | 3 | 2022 |
| Learnt Sparsification for Interpretable Graph Neural Networks M Rathee, Z Zhang, T Funke, M Khosla, A Anand arXiv preprint arXiv:2106.12920, 2021 | 3 | 2021 |
Avishek AnandAssociate Professor, TU DelftVerified email at tudelft.nl
