KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations

Research article (Mathematical Geosciences, 2024) · cited 12× · AI/ML
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KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations

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KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations. Retrieved May 24, 2026, from https://4ort.xyz/entity/knn-gcn-a-deep-learning-approach-for-slope-unit-based-landslide-susceptibility-mapping-incorporating-spatial-correlation
MLA “KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/knn-gcn-a-deep-learning-approach-for-slope-unit-based-landslide-susceptibility-mapping-incorporating-spatial-correlation.
BibTeX @misc{4ortxyz_knn-gcn-a-deep-learning-approach-for-slope-unit-based-landslide-susceptibility-mapping-incorporating-spatial-correlation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations}}, year = {2026}, url = {https://4ort.xyz/entity/knn-gcn-a-deep-learning-approach-for-slope-unit-based-landslide-susceptibility-mapping-incorporating-spatial-correlation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations — https://4ort.xyz/entity/knn-gcn-a-deep-learning-approach-for-slope-unit-based-landslide-susceptibility-mapping-incorporating-spatial-correlation (retrieved 2026-05-24)

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