Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction

Research article (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024) · cited 14× · AI/ML
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Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction

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Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-consistent-deep-geometric-learning-for-heterogeneous-multi-source-spatial-point-data-prediction
MLA “Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-consistent-deep-geometric-learning-for-heterogeneous-multi-source-spatial-point-data-prediction.
BibTeX @misc{4ortxyz_self-consistent-deep-geometric-learning-for-heterogeneous-multi-source-spatial-point-data-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction}}, year = {2026}, url = {https://4ort.xyz/entity/self-consistent-deep-geometric-learning-for-heterogeneous-multi-source-spatial-point-data-prediction}, note = {Accessed: 2026-05-24}}
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