M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification

Research article (Neurocomputing, 2020) · cited 21× · AI/ML
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M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification

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M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/m-gwnn-multi-granularity-graph-wavelet-neural-networks-for-semi-supervised-node-classification
MLA “M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/m-gwnn-multi-granularity-graph-wavelet-neural-networks-for-semi-supervised-node-classification.
BibTeX @misc{4ortxyz_m-gwnn-multi-granularity-graph-wavelet-neural-networks-for-semi-supervised-node-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{M-GWNN: Multi-granularity graph wavelet neural networks for semi-supervised node classification}}, year = {2026}, url = {https://4ort.xyz/entity/m-gwnn-multi-granularity-graph-wavelet-neural-networks-for-semi-supervised-node-classification}, note = {Accessed: 2026-05-24}}
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