| Membership Inference Attack on Graph Neural Networks IE Olatunji, W Nejdl, M Khosla IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021 | 81 | 2021 |
| User Fairness in Recommender Systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 2018 | 80 | 2018 |
| A Comparative Study for Unsupervised Network Representation Learning Methods M Khosla, A Anand, V Setty IEEE Transactions on Knowledge and Data Engineering, 2019 | 78* | 2019 |
| 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 | 71 | 2015 |
| 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 | 68 | 2019 |
| The Multiple-Orientability Thresholds for Random Hypergraphs† N Fountoulakis, M Khosla, K Panagiotou Combinatorics, Probability and Computing 25 (6), 870-908, 2016 | 57 | 2016 |
| ZORRO: Valid, Sparse, and Stable Explanations in Graph Neural Networks T Funke, M Khosla, M Rathee, A Anand IEEE Transactions on Knowledge and Data Engineering, 2022 | 49* | 2022 |
| A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big data, 2022 | 44 | 2022 |
| Releasing graph neural networks with differential privacy guarantees IE Olatunji, T Funke, M Khosla Transactions on Machine Learning Research, 2023 | 38 | 2023 |
| Boilerplate removal using a neural sequence labeling model J Leonhardt, A Anand, M Khosla Companion Proceedings of the Web Conference 2020, 226-229, 2020 | 33 | 2020 |
| Balls into Bins made Faster M Khosla Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 2013 | 27 | 2013 |
| A multitask transfer learning framework for the prediction of virus-human protein–protein interactions TN Dong, G Brogden, G Gerold, M Khosla BMC bioinformatics 22, 1-24, 2021 | 18 | 2021 |
| Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models J Singh, M Khosla, W Zhenye, A Anand Proceedings of the 2021 ACM SIGIR International Conference on Theory of …, 2021 | 17* | 2021 |
| 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 | 16* | 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 | 15 | 2019 |
| Quantum machine learning of graph-structured data K Beer, M Khosla, J Köhler, TJ Osborne, T Zhao Physical Review A 108 (1), 012410, 2023 | 14 | 2023 |
| Efficient neural ranking using forward indexes J Leonhardt, K Rudra, M Khosla, A Anand, A Anand Proceedings of the ACM Web Conference 2022, 266-276, 2022 | 13* | 2022 |
| MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction N Dong, S Mücke, M Khosla IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2022 | 11* | 2022 |
| Revisiting feature selection with data complexity NT Dong, M Khosla 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 10 | 2020 |
| Delusive pagerank in incomplete graphs H Holzmann, A Anand, M Khosla International Conference on Complex Networks and their Applications, 104-117, 2018 | 10 | 2018 |
Avishek AnandAssociate Professor, TU Delft and L3S Research CenterVerified email at tudelft.nl
