3 papers
cs.LG2026
DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics
Jayadratha Gayen, Bradly Alicea
Understanding how a nervous system wires itself from birth to adulthood is a fundamental challenge in developmental neuroscience. We present DevoTG, a temporal graph framework that…
cs.LG2025
Predict Confidently, Predict Right: Abstention in Dynamic Graph Learning
Jayadratha Gayen, Himanshu Pal, Naresh Manwani +1
Many real-world systems can be modeled as dynamic graphs, where nodes and edges evolve over time, requiring specialized models to capture their evolving dynamics in risk-sensitive…
cs.LG2024
Node Classification With Integrated Reject Option
Uday Bhaskar, Jayadratha Gayen, Charu Sharma +1
One of the key tasks in graph learning is node classification. While Graph neural networks have been used for various applications, their adaptivity to reject option setting is not…