Artun Bayer — accepted AI-conference papers

2023

Graph Representation Learning For Stroke Recurrence Prediction

Nicholas Glaze, Artun Bayer, Xiaoqian Jiang, Sean I. Savitz, Santiago Segarra

ICASSP 2023accepted

Stroke is one of the leading causes of death worldwide, and its mortality rate is drastically higher for patients who suffer recurrent strokes. Motivated by the recent success of graph learning methods on medical tasks, we introduce a graph representation framework for stroke recurrence prediction (…

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2022

Label Propagation Across Graphs: Node Classification Using Graph Neural Tangent Kernels

Artun Bayer, Arindam Chowdhury, Santiago Segarra

ICASSP 2022accepted

Graph neural networks (GNNs) have achieved superior performance on node classification tasks in the last few years. Commonly, this is framed in a transductive semi-supervised learning setup wherein the entire graph – including the target nodes to be labeled – is available for training. Driven in par…

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