Gihan Panapitiya

According to our database, Gihan Panapitiya authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AutoLabs: Cognitive Multi-Agent Systems with Self-Correction for Autonomous Chemical Experimentation.

Gihan Panapitiya, Emily Saldanha, Heather Job, Olivia Hess

CoRR, September, 2025

Extracting Material Property Measurements from Scientific Literature with Limited Annotations.

Jessica Kong, Gihan Panapitiya, Emily Saldanha

J. Chem. Inf. Model., 2025

2024

FragNet: A Graph Neural Network for Molecular Property Prediction with Four Layers of Interpretability.

Gihan Panapitiya, Peiyuan Gao, C. Mark Maupin, Emily Saldanha

CoRR, 2024

2023

Evaluating uncertainty-based active learning for accelerating the generalization of molecular property prediction.

Tianzhixi Yin, Gihan Panapitiya, Elizabeth D. Coda, Emily Saldanha

J. Cheminformatics, December, 2023

Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models.

Gihan Panapitiya, Emily Saldanha

CoRR, 2023

2022

Dynamic Molecular Graph-based Implementation for Biophysical Properties Prediction.

Carter Knutson, Gihan Panapitiya, Rohith Anand Varikoti, Neeraj Kumar

CoRR, 2022

2021

Predicting Aqueous Solubility of Organic Molecules Using Deep Learning Models with Varied Molecular Representations.

Gihan Panapitiya, Michael Girard, Aaron Hollas, Vijay Murugesan, Wei Wang, Emily Saldanha

CoRR, 2021

Extracting Material Property Measurement Data from Scientific Articles.

Gihan Panapitiya, Fred Parks, Jonathan Sepulveda, Emily Saldanha

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021