Learning with graphs: kernel and neural approaches

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Dortmund, Technische Universität, Dissertation, 2019

Keyword: Learning
Kern
Graph
Maschinelles Lernen
Neuronales Netz

Event: Veröffentlichung

(where): Dortmund

(who): Universitätsbibliothek Dortmund

(when): 2019

Creator: Morris, Christopher

Contributor: Mutzel, Petra
Kersting, Kristian

Handle: 2003/38718

URN: urn:nbn:de:101:1-2020022103245631366865

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:03 AM CEST

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Associated

Morris, Christopher
Mutzel, Petra
Kersting, Kristian
Universitätsbibliothek Dortmund

Time of origin

2019

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Supervised multiple kernel learning approaches for multi-omics data integration

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Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: learning to explain graph neural networks

A generalized Weisfeiler-Lehman graph kernel

Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

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Learning with graphs: kernel and neural approaches

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Time of origin

Other Objects (12)

Kernel learning approaches for image classification

Neural Generalization of Multiple Kernel Learning

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Learning to explain graph neural networks

Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: learning to explain graph neural networks

A generalized Weisfeiler-Lehman graph kernel

Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

Kernel learning approaches for image classification

Neural Generalization of Multiple Kernel Learning

Supervised multiple kernel learning approaches for multi-omics data integration

Learning to explain graph neural networks

Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: learning to explain graph neural networks

A generalized Weisfeiler-Lehman graph kernel

Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

Kernel learning approaches for image classification

Neural Generalization of Multiple Kernel Learning

Supervised multiple kernel learning approaches for multi-omics data integration

Learning to explain graph neural networks

Unsupervised multiple kernel learning approaches for integrating molecular cancer patient data

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: Learning to Explain Graph Neural Networks

L2XGNN: learning to explain graph neural networks

A generalized Weisfeiler-Lehman graph kernel

Biomedical literature mining: graph kernel-based learning for gene–gene interaction extraction

Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

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