Vasant Gajanan Honavar, PhD

Professor and Edward Frymoyer Chair of Information Sciences and Technology, College of Information Sciences and Technology
Huck Institutes of the Life Sciences
Penn State Clinical and Translational Science Institute (CTSI)
Penn State Neuroscience Institute
Penn State Cancer Institute
Cancer Institute, Cancer Control

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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1 Finished

Protein Sequence Structure Function Relationships
Honavar, V. G. & HONAVAR, V. G.
National Institute of General Medical Sciences
6/10/03 → 5/31/08
Project: Research project

6777 Citations
36 h-Index
168 Conference contribution
86 Article
9 Conference article
8 Editorial
More

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach
Sun, Y., Wang, S., Tang, X., Hsieh, T. Y. & Honavar, V., Apr 20 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 673-683 11 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
3 Scopus citations
Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data
Le, T. & Honavar, V., Oct 19 2020, FODS 2020 - Proceedings of the 2020 ACM-IMS Foundations of Data Science Conference. Association for Computing Machinery, Inc, p. 183-188 6 p. (FODS 2020 - Proceedings of the 2020 ACM-IMS Foundations of Data Science Conference).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines
Renaud, N., Jung, Y., Honavar, V., Geng, C., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: SoftwareX. 11, 100462.
Research output: Contribution to journal › Article › peer-review

Open Access
IScore: A novel graph kernel-based function for scoring protein-protein docking models
Geng, C., Jung, Y., Renaud, N., Honavar, V., Bonvin, A. M. J. J. & Xue, L. C., Jan 1 2020, In: Bioinformatics. 36, 1, p. 112-121 10 p.
Research output: Contribution to journal › Article › peer-review

Open Access
9 Scopus citations
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research
Parashar, M., Simonet, A., Rodero, I., Ghahramani, F., Agnew, G., Jantz, R. & Honavar, V., May 1 2020, In: Computing in Science and Engineering. 22, 3, p. 79-92 14 p., 8686134.
Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Protein Sequence Structure Function Relationships

Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

Dynamical Gaussian Process Latent Variable Model for Representation Learning from Longitudinal Data

iScore: An MPI supported software for ranking protein–protein docking models based on a random walk graph kernel and support vector machines

IScore: A novel graph kernel-based function for scoring protein-protein docking models

The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research