GNNLens : A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks
Graph Neural Networks (GNNs) aim to extend deep learning techniques to graph data and have achieved significant progress in graph analysis tasks (e.g., node classification) in recent years. However, similar to other deep neural networks like Convolutional Neural Networks (CNNs) and Recurrent Neural...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 6 vom: 01. Juni, Seite 3024-3038
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| 1. Verfasser: |
Jin, Zhihua
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Yong,
Wang, Qianwen,
Ming, Yao,
Ma, Tengfei,
Qu, Huamin |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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