Megha Khosla

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Avishek AnandAssociate Professor, TU Delft and L3S Research CenterAdresă de e-mail confirmată pe tudelft.nl
OLATUNJI, Iyiola EmmanuelCISPA Helmholtz Center for Information SecurityAdresă de e-mail confirmată pe cispa.de
Thorben FunkeL3S Research Center, Leibniz University HannoverAdresă de e-mail confirmată pe l3s.de
Jurek LeonhardtDelft University of TechnologyAdresă de e-mail confirmată pe tudelft.nl
Ngan DongL3S Research CenterAdresă de e-mail confirmată pe l3s.de
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyAdresă de e-mail confirmată pe kbs.uni-hannover.de
Tianqi ZhaoDelft University of TechnologyAdresă de e-mail confirmată pe tudelft.nl
Daniel KudenkoL3S Research Center, Leibniz University Hannover, GermanyAdresă de e-mail confirmată pe l3s.de
Vinay SettyAssociate Professor, University of StavangerAdresă de e-mail confirmată pe uis.no
Konstantinos PanagiotouUniversity of MunichAdresă de e-mail confirmată pe math.lmu.de
Koustav RudraAssistant Professor, IIT KharagpurAdresă de e-mail confirmată pe cai.iitkgp.ac.in
Abhijit AnandL3S Research CenterAdresă de e-mail confirmată pe l3s.de
Tim ByrnesNew York University ShanghaiAdresă de e-mail confirmată pe nyu.edu
Helge HolzmannWeb Data Engineer, Internet ArchiveAdresă de e-mail confirmată pe archive.org
Nikolaos FountoulakisReader in Mathematics, University of BirminghamAdresă de e-mail confirmată pe bham.ac.uk
Vikram WaradpandeColumbia UniversityAdresă de e-mail confirmată pe columbia.edu
Zijian ZhangL3S Research CenterAdresă de e-mail confirmată pe l3s.de
Kerstin BeerMacquarie University, Department of Physics and Astronomy, Sydney, NSW 2109Adresă de e-mail confirmată pe itp.uni-hannover.de
Tobias J. OsborneInstitüt für Theoretische Physik and L3S Research Center, Leibniz Universität HannoverAdresă de e-mail confirmată pe itp.uni-hannover.de
Maximilian IdahlL3S Research Center, Leibniz University Hannover, GermanyAdresă de e-mail confirmată pe l3s.de

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Megha Khosla

Assistant Professor at TU Delft

Adresă de e-mail confirmată pe tudelft.nl - Pagina de pornire

Learning on Graphs Privacy Preserving learning on graphs Explaining graph learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Membership Inference Attack on Graph Neural Networks IE Olatunji, W Nejdl, M Khosla IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021	129	2021
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	95*	2022
A Comparative Study for Unsupervised Network Representation Learning Methods M Khosla, A Anand, V Setty IEEE Transactions on Knowledge and Data Engineering, 2019	88*	2019
User Fairness in Recommender Systems J Leonhardt, A Anand, M Khosla Companion Proceedings of the The Web Conference 2018, 2018	88	2018
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	80	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	78	2019
A review of anonymization for healthcare data IE Olatunji, J Rauch, M Katzensteiner, M Khosla Big data 12 (6), 538-555, 2024	73	2024
Releasing graph neural networks with differential privacy guarantees IE Olatunji, T Funke, M Khosla Transactions on Machine Learning Research, 2023	62	2023
The Multiple-Orientability Thresholds for Random Hypergraphs^† N Fountoulakis, M Khosla, K Panagiotou Combinatorics, Probability and Computing 25 (6), 870-908, 2016	61	2016
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
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	30	2021
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	28	2023
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	24*	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	21*	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	19*	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	18	2024
Private Graph Extraction via Feature Explanations IE Olatunji, M Rathee, T Funke, M Khosla Proceedings of Privacy Enhancing Technologies Symposium (PETS 2023), 2023	17	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
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	16	2019

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