Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference

Research article (International Journal of Geographical Information Systems, 2024) · cited 13× · AI/ML
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Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference

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Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-spatial-interaction-representation-with-heterogeneous-graph-convolutional-networks-for-urban-land-use-inference
MLA “Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-spatial-interaction-representation-with-heterogeneous-graph-convolutional-networks-for-urban-land-use-inference.
BibTeX @misc{4ortxyz_learning-spatial-interaction-representation-with-heterogeneous-graph-convolutional-networks-for-urban-land-use-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning spatial interaction representation with heterogeneous graph convolutional networks for urban land-use inference}}, year = {2026}, url = {https://4ort.xyz/entity/learning-spatial-interaction-representation-with-heterogeneous-graph-convolutional-networks-for-urban-land-use-inference}, note = {Accessed: 2026-05-24}}
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