A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints
Summary
A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints is a scholarly article[1].
Key Facts
A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-approach-for-polyline-and-building-simplification-based-on-graph-autoencoder-with-flexible-constraints
MLA“A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-approach-for-polyline-and-building-simplification-based-on-graph-autoencoder-with-flexible-constraints.
BibTeX@misc{4ortxyz_a-deep-learning-approach-for-polyline-and-building-simplification-based-on-graph-autoencoder-with-flexible-constraints_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-approach-for-polyline-and-building-simplification-based-on-graph-autoencoder-with-flexible-constraints}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep learning approach for polyline and building simplification based on graph autoencoder with flexible constraints — https://4ort.xyz/entity/a-deep-learning-approach-for-polyline-and-building-simplification-based-on-graph-autoencoder-with-flexible-constraints (retrieved 2026-05-24)
