Membership Inference Attack on Graph Neural Networks IE Olatunji, W Nejdl, M Khosla IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021 | 88 | 2021 |
User Fairness in Recommender Systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 2018 | 84 | 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 | 72 | 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 | 71 | 2019 |
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 | 58* | 2022 |
The Multiple-Orientability Thresholds for Random Hypergraphs† N Fountoulakis, M Khosla, K Panagiotou Combinatorics, Probability and Computing 25 (6), 870-908, 2016 | 57 | 2016 |
A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big data, 2022 | 50 | 2022 |
Releasing graph neural networks with differential privacy guarantees IE Olatunji, T Funke, M Khosla Transactions on Machine Learning Research, 2023 | 41 | 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 | 34 | 2020 |
Balls into Bins made Faster M Khosla Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 2013 | 28 | 2013 |
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 | 20* | 2021 |
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 | 19 | 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 |
Quantum machine learning of graph-structured data K Beer, M Khosla, J Köhler, TJ Osborne, T Zhao Physical Review A 108 (1), 012410, 2023 | 15 | 2023 |
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 | 15* | 2022 |
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 |
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 | 14* | 2022 |
Revisiting feature selection with data complexity NT Dong, M Khosla 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020 | 11 | 2020 |
Knowledge-aware neural networks for medical forum question classification S Roy, S Chakraborty, A Mandal, G Balde, P Sharma, A Natarajan, ... Proceedings of the 30th ACM international conference on information …, 2021 | 10 | 2021 |