publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2023

  1. DINE: Dimensional Interpretability of Node Embeddings
    Piaggesi, Simone, Khosla, Megha, Panisson, André, and Anand, Avishek
    2023
  2. Quantum machine learning of graph-structured data
    Beer, Kerstin, Khosla, Megha, Köhler, Julius, Osborne, Tobias J, and Zhao, Tianqi
    Physical Review A 2023
  3. Releasing graph neural networks with differential privacy guarantees
    Olatunji, Iyiola E, Funke, Thorben, and Khosla, Megha
    In Transactions on Machine Learning Research 2023
  4. Multi-label Node Classification On Graph-Structured Data
    Zhao, Tianqi, Dong, Ngan Thi, Hanjalic, Alan, and Khosla, Megha
    Accepted for publication in Transactions on Machine Learning Research 2023
  5. Does Black-box Attribute Inference Attacks on Graph Neural Networks Constitute Privacy Risk?
    Olatunji, Iyiola E, Hizber, Anmar, Sihlovec, Oliver, and Khosla, Megha
    arXiv preprint arXiv:2306.00578 2023
  6. Private Graph Extraction via Feature Explanations
    Olatunji, Iyiola E, Rathee, Mandeep, Funke, Thorben, and Khosla, Megha
    In Proceedings of Privacy Enhancing Technologies Symposium (PETS 2023) 2023
  7. Graph learning-based generation of abstractions for reinforcement learning
    Xue, Yuan, Kudenko, Daniel, and Khosla, Megha
    Neural Computing and Applications 2023

2022

  1. BAGEL: A Benchmark for Assessing Graph Neural Network Explanations
    Rathee, Mandeep, Funke, Thorben, Anand, Avishek, and Khosla, Megha
    arXiv preprint arXiv:2206.13983 2022
  2. Performance-informed pattern modification of reticulated equilibrium shell structures using Rules-based Graphic Statics, CW Networks and Reinforcement Learning
    Tam, Kam-Ming Mark, Kudenko, Daniel, Khosla, Megha, Van Mele, Tom, and Block, Philippe
    In Proceedings of IASS Annual Symposia 2022
  3. A message passing framework with multiple data integration for miRNA-disease association prediction
    Dong, Thi Ngan, Johanna, Schrader, Mucke, Stefanie, and Khosla, Megha
    Nature Scientific Reports 2022
  4. Privacy and Transparency in Graph Machine Learning: A Unified Perspective
    Khosla, Megha
    In Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI) at International Conference on Information and Knowledge Management (CIKM’22) 2022
  5. ZORRO: Valid, Sparse, and Stable Explanations in Graph Neural Networks
    Funke, Thorben, Khosla, Megha, Rathee, Mandeep, and Anand, Avishek
    IEEE Transactions on Knowledge and Data Engineering 2022
  6. Efficient Neural Ranking using Forward Indexes
    Leonhardt, Jurek, Rudra, Koustav, Khosla, Megha, Anand, Abhijit, and Anand, Avishek
    In Proceedings of the ACM Web Conference 2022 2022
  7. A review of anonymization for healthcare data
    Olatunji, Iyiola E, Rauch, Jens, Katzensteiner, Matthias, and Khosla, Megha
    Big Data 2022
  8. MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction
    Dong, Thi Ngan, Mucke, Stefanie, and Khosla, Megha
    IEEE/ACM Transactions on Computational Biology and Bioinformatics 2022

2021

  1. Graph Learning based Generation of Abstractions for Reinforcement Learning.
    Xue, Yuan, Kudenko, Daniel, and Khosla, Megha
    In Adaptive and Learning Agents (ALA 2021 at AAMAS) 2021
  2. A multitask transfer learning framework for the prediction of virus-human protein-protein interactions
    Dong, Thi Ngan, Brogden, Graham, Gerold, Gisa, and Khosla, Megha
    BMC Bioinform. 2021
  3. A Comparative Study for Unsupervised Network Representation Learning
    Khosla, Megha, Setty, Vinay, and Anand, Avishek
    IEEE Trans. Knowl. Data Eng. 2021
  4. Knowledge-Aware Neural Networks for Medical Forum Question Classification
    Roy, Soumyadeep, Chakraborty, Sudip, Mandal, Aishik, Balde, Gunjan, Sharma, Prakhar, Natarajan, Anandhavelu, Khosla, Megha, Sural, Shamik, and Ganguly, Niloy
    In CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 2021
  5. Extracting per Query Valid Explanations for Blackbox Learning-to-Rank Models
    Singh, Jaspreet, Khosla, Megha, Wang, Zhenye, and Anand, Avishek
    In ICTIR ’21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021 2021
  6. Membership Inference Attack on Graph Neural Networks
    Olatunji, Iyiola E., Nejdl, Wolfgang, and Khosla, Megha
    In IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, (TPS-ISA) 2021
  7. Revisiting the Auction Algorithm for Weighted Bipartite Perfect Matchings
    Khosla, Megha, and Anand, Avishek
    CoRR 2021
  8. Achieving differential privacy for k-nearest neighbors based outlier detection by data partitioning
    Rauch, Jens, Olatunji, Iyiola E., and Khosla, Megha
    CoRR 2021
  9. Learnt Sparsification for Interpretable Graph Neural Networks
    Rathee, Mandeep, Zhang, Zijian, Funke, Thorben, Khosla, Megha, and Anand, Avishek
    CoRR 2021

2020

  1. Revisiting Feature Selection with Data Complexity
    Dong, Ngan Thi, and Khosla, Megha
    In 20th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2020, Cincinnati, OH, USA, October 26-28, 2020 2020
  2. Towards a consistent evaluation of miRNA-disease association prediction models
    Dong, Thi Ngan, and Khosla, Megha
    In IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020 2020
  3. Boilerplate Removal using a Neural Sequence Labeling Model
    Leonhardt, Jurek, Anand, Avishek, and Khosla, Megha
    In Companion of The 2020 Web Conference 2020, Taipei, Taiwan, April 20-24, 2020 2020
  4. Graph-based State Representations for Deep Reinforcement Learning
    Waradpande, Vikram, Kudenko, Daniel, and Khosla, Megha
    In In Proceedings of 16th International Workshop on Mining and Learning with Graphs, MLG 2020

2019

  1. A Faster Algorithm for Cuckoo Insertion and Bipartite Matching in Large Graphs
    Khosla, Megha, and Anand, Avishek
    Algorithmica 2019
  2. Estimating PageRank deviations in crawled graphs
    Holzmann, Helge, Anand, Avishek, and Khosla, Megha
    Appl. Netw. Sci. 2019
  3. Finding Interpretable Concept Spaces in Node Embeddings Using Knowledge Bases
    Idahl, Maximilian, Khosla, Megha, and Anand, Avishek
    In Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I 2019
  4. Node Representation Learning for Directed Graphs
    Khosla, Megha, Leonhardt, Jurek, Nejdl, Wolfgang, and Anand, Avishek
    In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I 2019
  5. Asynchronous Training of Word Embeddings for Large Text Corpora
    Anand, Avishek, Khosla, Megha, Singh, Jaspreet, Zab, Jan-Hendrik, and Zhang, Zijian
    In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019 2019

2018

  1. Delusive PageRank in Incomplete Graphs
    Holzmann, Helge, Anand, Avishek, and Khosla, Megha
    In Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018, Cambridge, UK, December 11-13, 2018 2018
  2. User Fairness in Recommender Systems
    Leonhardt, Jurek, Anand, Avishek, and Khosla, Megha
    In Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018 2018

2016

  1. The Multiple-Orientability Thresholds for Random Hypergraphs
    Fountoulakis, Nikolaos, Khosla, Megha, and Panagiotou, Konstantinos
    Comb. Probab. Comput. 2016

2015

  1. Macroscopic quantum information processing using spin coherent states
    Byrnes, Tim, Rosseau, Daniel, Khosla, Megha, Pyrkov, Alexey, Thomasen, Andreas, Mukai, Tetsuya, Koyama, Shinsuke, Abdelrahman, Ahmed, and Ilo-Okeke, Ebubechukwu
    Optics Communications 2015

2014

  1. Multiple choice allocations with small maximum loads
    Khosla, Megha
    2014

2013

  1. Balls into Bins Made Faster
    Khosla, Megha
    In Algorithms - ESA 2013 - 21st Annual European Symposium, Sophia Antipolis, France, September 2-4, 2013. Proceedings 2013

2011

  1. The Multiple-Orientability Thresholds for Random Hypergraphs
    Fountoulakis, Nikolaos, Khosla, Megha, and Panagiotou, Konstantinos
    In Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2011, San Francisco, California, USA, January 23-25, 2011 2011

2009

  1. Message Passing Algorithms
    Khosla, Megha
    2009