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cs.LG2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
Graph Neural Networks (GNNs) have emerged as powerful tools for predicting outcomes in graph-structured data. However, a notable limitation of GNNs is their inability to provide ro…
cs.LG2023★ 1 cited
Addressing the Impact of Localized Training Data in Graph Neural Networks
Akansha A
Graph Neural Networks (GNNs) have achieved notable success in learning from graph-structured data, owing to their ability to capture intricate dependencies and relationships betwee…