Megha Khosla

Orcid: 0000-0002-0319-3181

According to our database1, Megha Khosla authored at least 42 papers between 2013 and 2024.

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Bibliography

2024
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders.
ACM Trans. Inf. Syst., September, 2024

AGALE: A Graph-Aware Continual Learning Evaluation Framework.
Trans. Mach. Learn. Res., 2024

A data-centric approach for assessing progress of Graph Neural Networks.
CoRR, 2024

Model Selection with Model Zoo via Graph Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

Private Graph Extraction via Feature Explanations.
Proc. Priv. Enhancing Technol., April, 2023

Multi-label Node Classification On Graph-Structured Data.
Trans. Mach. Learn. Res., 2023

Releasing Graph Neural Networks with Differential Privacy Guarantees.
Trans. Mach. Learn. Res., 2023

DINE: Dimensional Interpretability of Node Embeddings.
CoRR, 2023

Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
CoRR, 2023

2022
MuCoMiD: A Multitask Graph Convolutional Learning Framework for miRNA-Disease Association Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Privacy and Transparency in Graph Machine Learning: A Unified Perspective.
CoRR, 2022

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations.
CoRR, 2022

Efficient Neural Ranking using Forward Indexes.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021
A Comparative Study for Unsupervised Network Representation Learning.
IEEE Trans. Knowl. Data Eng., 2021

Fast Forward Indexes for Efficient Document Ranking.
CoRR, 2021

MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction.
CoRR, 2021

Learnt Sparsification for Interpretable Graph Neural Networks.
CoRR, 2021

Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks.
CoRR, 2021

Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning.
CoRR, 2021

A Review of Anonymization for Healthcare Data.
CoRR, 2021

Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings.
CoRR, 2021

A multitask transfer learning framework for the prediction of virus-human protein-protein interactions.
BMC Bioinform., 2021

Membership Inference Attack on Graph Neural Networks.
Proceedings of the 3rd IEEE International Conference on Trust, 2021

Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Knowledge-Aware Neural Networks for Medical Forum Question Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Valid Explanations for Learning to Rank Models.
CoRR, 2020

Deep Reinforcement Learning with Graph-based State Representations.
CoRR, 2020

Boilerplate Removal using a Neural Sequence Labeling Model.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Towards a consistent evaluation of miRNA-disease association prediction models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Revisiting Feature Selection with Data Complexity.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
A Comprehensive Comparison of Unsupervised Network Representation Learning Methods.
CoRR, 2019

Estimating PageRank deviations in crawled graphs.
Appl. Netw. Sci., 2019

A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs.
Algorithmica, 2019

Asynchronous Training of Word Embeddings for Large Text Corpora.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Node Representation Learning for Directed Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
User Fairness in Recommender Systems.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Delusive PageRank in Incomplete Graphs.
Proceedings of the Complex Networks and Their Applications VII, 2018

2016
The Multiple-Orientability Thresholds for Random Hypergraphs.
Comb. Probab. Comput., 2016

2014
Multiple choice allocations with small maximum loads.
PhD thesis, 2014

2013
Balls into Bins Made Faster.
Proceedings of the Algorithms - ESA 2013, 2013


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