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cs.LG2025
Federated Spectral Graph Transformers Meet Neural Ordinary Differential Equations for Non-IID Graphs
Kishan Gurumurthy, Himanshu Pal, Charu Sharma
Graph Neural Network (GNN) research is rapidly advancing due to GNNs' capacity to learn distributed representations from graph-structured data. However, centralizing large volumes…
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…