Megha Khosla

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 55

Top Venues

CoRR

Trans. Mach. Learn. Res.

IEEE Trans. Knowl. Data Eng.

WWW (Companion Volume)

Saarland University (PHD)

Education History

Saarland University

PHD

Publications

Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. ACM Trans. Inf. Syst. 42 (5) (2024)
Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
Model Selection with Model Zoo via Graph Learning. CoRR (2024)
Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla
A data-centric approach for assessing progress of Graph Neural Networks. CoRR (2024)
Tianqi Zhao, Alan Hanjalic, Megha Khosla
AGALE: A Graph-Aware Continual Learning Evaluation Framework. Trans. Mach. Learn. Res. 2024 (2024)
Ziyu Li, Hilco van der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai
Model Selection with Model Zoo via Graph Learning. ICDE (2024)
Tianqi Zhao, Alan Hanjalic, Megha Khosla
AGALE: A Graph-Aware Continual Learning Evaluation Framework. CoRR (2024)
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
Releasing Graph Neural Networks with Differential Privacy Guarantees. Trans. Mach. Learn. Res. 2023 (2023)
Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla
Multi-label Node Classification On Graph-Structured Data. CoRR (2023)
Thorben Funke, Megha Khosla, Mandeep Rathee, Avishek Anand
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. CoRR (2023)
Iyiola E. Olatunji, Anmar Hizber, Oliver Sihlovec, Megha Khosla
Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk? CoRR (2023)
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
Private Graph Extraction via Feature Explanations. Proc. Priv. Enhancing Technol. 2023 (2) (2023)
Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla
Multi-label Node Classification On Graph-Structured Data. Trans. Mach. Learn. Res. 2023 (2023)
Simone Piaggesi, Megha Khosla, André Panisson, Avishek Anand
DINE: Dimensional Interpretability of Node Embeddings. CoRR (2023)
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
Efficient Neural Ranking using Forward Indexes. WWW (2022)
Iyiola E. Olatunji, Mandeep Rathee, Thorben Funke, Megha Khosla
Private Graph Extraction via Feature Explanations. CoRR (2022)
Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations. CoRR (2022)
Megha Khosla
Privacy and Transparency in Graph Machine Learning: A Unified Perspective. CoRR (2022)
Ngan Dong, Stefanie Mücke, Megha Khosla
MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Thi Ngan Dong, Graham Brogden, Gisa Gerold, Megha Khosla
A multitask transfer learning framework for the prediction of virus-human protein-protein interactions. CoRR (2021)
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
Fast Forward Indexes for Efficient Document Ranking. CoRR (2021)
Thi Ngan Dong, Megha Khosla
MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction. CoRR (2021)
Iyiola E. Olatunji, Jens Rauch, Matthias Katzensteiner, Megha Khosla
A Review of Anonymization for Healthcare Data. CoRR (2021)
Megha Khosla, Vinay Setty, Avishek Anand
A Comparative Study for Unsupervised Network Representation Learning. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand
Learnt Sparsification for Interpretable Graph Neural Networks. CoRR (2021)
Megha Khosla, Avishek Anand
Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings. CoRR (2021)
Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly
Knowledge-Aware Neural Networks for Medical Forum Question Classification. CoRR (2021)
Thorben Funke, Megha Khosla, Avishek Anand
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks. CoRR (2021)
Soumyadeep Roy, Sudip Chakraborty, Aishik Mandal, Gunjan Balde, Prakhar Sharma, Anandhavelu Natarajan, Megha Khosla, Shamik Sural, Niloy Ganguly
Knowledge-Aware Neural Networks for Medical Forum Question Classification. CIKM (2021)
Jaspreet Singh, Megha Khosla, Zhenye Wang, Avishek Anand
Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models. ICTIR (2021)
Jens Rauch, Iyiola E. Olatunji, Megha Khosla
Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning. CoRR (2021)
Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
Membership Inference Attack on Graph Neural Networks. CoRR (2021)
Iyiola E. Olatunji, Thorben Funke, Megha Khosla
Releasing Graph Neural Networks with Differential Privacy Guarantees. CoRR (2021)
Iyiola E. Olatunji, Wolfgang Nejdl, Megha Khosla
Membership Inference Attack on Graph Neural Networks. TPS-ISA (2021)
Thi Ngan Dong, Graham Brogden, Gisa Gerold, Megha Khosla
A multitask transfer learning framework for the prediction of virus-human protein-protein interactions. BMC Bioinform. 22 (1) (2021)
Jurek Leonhardt, Avishek Anand, Megha Khosla
Boilerplate Removal using a Neural Sequence Labeling Model. WWW (Companion Volume) (2020)
Ngan Thi Dong, Megha Khosla
Revisiting Feature Selection with Data Complexity. BIBE (2020)
Vikram Waradpande, Daniel Kudenko, Megha Khosla
Deep Reinforcement Learning with Graph-based State Representations. CoRR (2020)
Jaspreet Singh, Megha Khosla, Avishek Anand
Valid Explanations for Learning to Rank Models. CoRR (2020)
Jurek Leonhardt, Avishek Anand, Megha Khosla
Boilerplate Removal using a Neural Sequence Labeling Model. CoRR (2020)
Thi Ngan Dong, Megha Khosla
Towards a consistent evaluation of miRNA-disease association prediction models. BIBM (2020)
Maximilian Idahl, Megha Khosla, Avishek Anand
Finding Interpretable Concept Spaces in Node Embeddings using Knowledge Bases. CoRR (2019)
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
Node Representation Learning for Directed Graphs. ECML/PKDD (1) (2019)
Megha Khosla, Avishek Anand, Vinay Setty
A Comprehensive Comparison of Unsupervised Network Representation Learning Methods. CoRR (2019)
Maximilian Idahl, Megha Khosla, Avishek Anand
Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases. PKDD/ECML Workshops (1) (2019)
Megha Khosla, Avishek Anand
A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs. Algorithmica 81 (9) (2019)
Helge Holzmann, Avishek Anand, Megha Khosla
Estimating PageRank deviations in crawled graphs. Appl. Netw. Sci. 4 (1) (2019)
Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
Asynchronous Training of Word Embeddings for Large Text Corpora. WSDM (2019)
Jurek Leonhardt, Avishek Anand, Megha Khosla
User Fairness in Recommender Systems. WWW (Companion Volume) (2018)
Jurek Leonhardt, Avishek Anand, Megha Khosla
User Fairness in Recommender Systems. CoRR (2018)
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
Node Representation Learning for Directed Graphs. CoRR (2018)
Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
Asynchronous Training of Word Embeddings for Large Text Corpora. CoRR (2018)
Helge Holzmann, Avishek Anand, Megha Khosla
Delusive PageRank in Incomplete Graphs. COMPLEX NETWORKS (1) (2018)
Nikolaos Fountoulakis, Megha Khosla, Konstantinos Panagiotou
The Multiple-Orientability Thresholds for Random Hypergraphs. Comb. Probab. Comput. 25 (6) (2016)
Megha Khosla, Avishek Anand
A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs. CoRR (2016)
Nikolaos Fountoulakis, Megha Khosla, Konstantinos Panagiotou
The Multiple-orientability Thresholds for Random Hypergraphs. CoRR (2013)
Megha Khosla
Balls into Bins Made Faster. ESA (2013)
Nikolaos Fountoulakis, Megha Khosla, Konstantinos Panagiotou
The Multiple-Orientability Thresholds for Random Hypergraphs. SODA (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Megha Khosla