Graph Neural Networks: Foundations, Frontiers, and Applications

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Graph Neural Networks: Foundations, Frontiers, and Applications

Springer Singapore

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So far, Dimensions has found 80 publications that cite this research output.

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The most recent citing publications are shown below. View all 80 publications that cite this research output on Dimensions.

DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders

Article in Expert Systems with Applications (November 2024)

Training a Graph Neural Network to solve URLLC and eMBB coexisting in 5G networks

Article in Computer Communications (September 2024)

Learning intrinsic shape representations via spectral mesh convolutions

Article in Neurocomputing (September 2024)

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