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Megha Khosla
Megha Khosla
Assistant Professor at TU Delft
Verified email at tudelft.nl - Homepage
Title
Cited by
Cited by
Year
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
502015
The Multiple-Orientability Thresholds for Random Hypergraphs
N Fountoulakis, M Khosla, K Panagiotou
Combinatorics, Probability and Computing 25 (6), 870-908, 2016
452016
A Comparative Study for Unsupervised Network Representation Learning Methods
M Khosla, A Anand, V Setty
IEEE Transactions on Knowledge and Data Engineering, 2019
41*2019
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
362019
User Fairness in Recommender Systems
J Leonhardt, A Anand, M Khosla
Companion Proceedings of the The Web Conference 2018, 2018
312018
Balls into Bins made Faster
M Khosla
Proceedings of the Twenty-First Annual European Symposium on Algorithms, 601 …, 2013
222013
Membership Inference Attack on Graph Neural Networks
IE Olatunji, W Nejdl, M Khosla
IEEE International Conference on Trust, Privacy and Security in Intelligent …, 2021
162021
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
T Funke, M Khosla, A Anand
arXiv preprint arXiv:2105.08621, 2021
10*2021
Boilerplate removal using a neural sequence labeling model
J Leonhardt, A Anand, M Khosla
Companion Proceedings of the Web Conference 2020, 226-229, 2020
102020
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
102019
Delusive pagerank in incomplete graphs
H Holzmann, A Anand, M Khosla
International Conference on Complex Networks and their Applications, 104-117, 2018
102018
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
9*2020
Message Passing Algorithms
M Khosla
Master Thesis, 2009
72009
Releasing Graph Neural Networks with Differential Privacy Guarantees
IE Olatunji, T Funke, M Khosla
arXiv preprint arXiv:2109.08907, 2021
52021
Quantum machine learning of graph-structured data
K Beer, M Khosla, J Köhler, TJ Osborne
arXiv preprint arXiv:2103.10837, 2021
42021
Revisiting feature selection with data complexity
NT Dong, M Khosla
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering …, 2020
42020
Asynchronous Training of Word Embeddings for Large Text Corpora
A Anand, M Khosla, J Singh, JH Zab, Z Zhang
In Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
42019
A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs
M Khosla, A Anand
Algorithmica, 1-18, 2019
42019
A review of anonymization for healthcare data
IE Olatunji, J Rauch, M Katzensteiner, M Khosla
Big Data, 2022
32022
Learnt Sparsification for Interpretable Graph Neural Networks
M Rathee, Z Zhang, T Funke, M Khosla, A Anand
arXiv preprint arXiv:2106.12920, 2021
32021
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