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Integrating domain knowledge and graph convolutional neural networks to support river network selection., , , , , , , и . Trans. GIS, 27 (7): 1898-1927 (ноября 2023)Analysis of Irregular Spatial Data with Machine Learning: Classification of Building Patterns with a Graph Convolutional Neural Network (Short Paper)., и . GIScience, том 114 из LIPIcs, стр. 69:1-69:7. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Center Point of Simple Area Feature Based on Triangulation Skeleton Graph (Short Paper)., и . GIScience, том 114 из LIPIcs, стр. 41:1-41:6. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2018)Area-preservation Simplification of Polygonal Boundaries by the Use of the Structured Total Least Squares Method with Constraints., , , и . Trans. GIS, 19 (5): 780-799 (2015)A shape analysis and template matching of building features by the Fourier transform method., , , и . Comput. Environ. Urban Syst., (2013)Progressive Transmission of Vector Data Based on Changes Accumulation Model., , и . SDH, стр. 85-96. Springer, (2004)A Map Generalization Model Based on Algebra Mapping Transformation., и . ACM-GIS, стр. 21-27. ACM, (2001)The Aggregation of Urban Building Clusters Based on the Skeleton Partitioning of Gap Space., и . AGILE Conf., стр. 153-170. Springer, (2007)A recognition method for drainage patterns using a graph convolutional network., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2022)A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data., , , , , и . ISPRS Int. J. Geo Inf., 10 (6): 379 (2021)