Megha Khosla
Megha Khosla
Assistant Professor at TU Delft
Verified email at - Homepage
Cited by
Cited by
Membership Inference Attack on Graph Neural Networks
IE Olatunji, W Nejdl, M Khosla
IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021
User Fairness in Recommender Systems
J Leonhardt, A Anand, M Khosla
Companion Proceedings of the The Web Conference 2018, 2018
A Comparative Study for Unsupervised Network Representation Learning Methods
M Khosla, A Anand, V Setty
IEEE Transactions on Knowledge and Data Engineering, 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
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
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
The Multiple-Orientability Thresholds for Random Hypergraphs
N Fountoulakis, M Khosla, K Panagiotou
Combinatorics, Probability and Computing 25 (6), 870-908, 2016
A review of anonymization for healthcare data
IE Olatunji, J Rauch, M Katzensteiner, M Khosla
Big data, 2022
Releasing graph neural networks with differential privacy guarantees
IE Olatunji, T Funke, M Khosla
Transactions on Machine Learning Research, 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
Balls into Bins made Faster
M Khosla
Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 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
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
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
Quantum machine learning of graph-structured data
K Beer, M Khosla, J Köhler, TJ Osborne, T Zhao
Physical Review A 108 (1), 012410, 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
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
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
Revisiting feature selection with data complexity
NT Dong, M Khosla
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 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
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