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In this work, we propose a Geospatial Overlapping Community Detection (GOCD) framework based on graph generation models and graph-based deep learning. GOCD aims ...
Sensing overlapping geospatial communities from human movements using graph affiliation generation models. GeoAI '22, November 1, 2022, Seattle, WA, USA.
Luo, P., and Zhu, D.* (2022). Sensing overlapping geospatial communities from human movements using graph affiliation generation models, Proceedings of The 5th ...
Sensing overlapping geospatial communities from human movements using graph affiliation generation models. Conference Paper. Full-text available. Nov 2022.
In many networks a node may belong to multiple communities simultaneously which leads to overlapping community struc- ture [1], [2], [23]. The overlapping ...
Missing: geospatial human movements
Spatial community detection is a method that divides geographic spaces into several sub-regions based on spatial interactions, reflecting the regional ...
We demonstrate how these geospatial graphs can be successfully matched across time by means of the learned graph embedding.
Sep 19, 2022 · Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods.
The proposed Community-Affiliation Graph Model is a model-based community detection method that builds on bipartite node-community affiliation networks.
Missing: geospatial human movements generation
This is a catalog of Open Source NASA code that has received SRA approval. AI generated tags are predicted using a natural language processing model.