Megha Khosla

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Avishek AnandAssociate Professor, TU Delft and L3S Research CenterVerificeret mail på tudelft.nl
OLATUNJI, Iyiola EmmanuelCISPA Helmholtz Center for Information SecurityVerificeret mail på cispa.de
Thorben FunkeL3S Research Center, Leibniz University HannoverVerificeret mail på l3s.de
Jurek LeonhardtDelft University of TechnologyVerificeret mail på tudelft.nl
Ngan DongL3S Research CenterVerificeret mail på l3s.de
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyVerificeret mail på kbs.uni-hannover.de
Tianqi ZhaoDelft University of TechnologyVerificeret mail på tudelft.nl
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyVerificeret mail på l3s.de
Vinay SettyAssociate Professor, University of StavangerVerificeret mail på uis.no
Konstantinos PanagiotouUniversity of MunichVerificeret mail på math.lmu.de
Koustav RudraAssistant Professor, IIT KharagpurVerificeret mail på cai.iitkgp.ac.in
Abhijit AnandL3S Research CenterVerificeret mail på l3s.de
Tim ByrnesNew York University ShanghaiVerificeret mail på nyu.edu
Helge HolzmannWeb Data Engineer, Internet ArchiveVerificeret mail på archive.org
Nikolaos FountoulakisReader in Mathematics, University of BirminghamVerificeret mail på bham.ac.uk
Dr. Stefanie MückeHannover Medical SchoolVerificeret mail på mh-hannover.de
Vikram WaradpandeColumbia UniversityVerificeret mail på columbia.edu
Zijian ZhangL3S Research CenterVerificeret mail på l3s.de
Kerstin BeerMacquarie University, Department of Physics and Astronomy, Sydney, NSW 2109Verificeret mail på itp.uni-hannover.de
Tobias J. OsborneInstitüt für Theoretische Physik and L3S Research Center, Leibniz Universität HannoverVerificeret mail på itp.uni-hannover.de

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Megha Khosla

Assistant Professor at TU Delft

Verificeret mail på tudelft.nl - Startside

Learning on Graphs Privacy Preserving learning on graphs Explaining graph learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
Membership Inference Attack on Graph Neural Networks IE Olatunji, W Nejdl, M Khosla IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021	120	2021
User Fairness in Recommender Systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 2018	90	2018
A Comparative Study for Unsupervised Network Representation Learning Methods M Khosla, A Anand, V Setty IEEE Transactions on Knowledge and Data Engineering, 2019	87*	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	83*	2022
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	76	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	75	2019
A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big data, 2022	59	2022
The Multiple-Orientability Thresholds for Random Hypergraphs^† N Fountoulakis, M Khosla, K Panagiotou Combinatorics, Probability and Computing 25 (6), 870-908, 2016	59	2016
Releasing graph neural networks with differential privacy guarantees IE Olatunji, T Funke, M Khosla Transactions on Machine Learning Research, 2023	54	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	39	2020
Balls into Bins made Faster M Khosla Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 2013	30	2013
Quantum machine learning of graph-structured data K Beer, M Khosla, J Köhler, TJ Osborne, T Zhao Physical Review A 108 (1), 012410, 2023	26	2023
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	26	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	22*	2021
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	20*	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	17	2019
Private Graph Extraction via Feature Explanations IE Olatunji, M Rathee, T Funke, M Khosla Proceedings of Privacy Enhancing Technologies Symposium (PETS 2023), 2023	16	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	16*	2022
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
Bagel: A benchmark for assessing graph neural network explanations M Rathee, T Funke, A Anand, M Khosla Advances in Interpretable Machine Learning and Artificial Intelligence@ECML …, 2024	15	2024

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