Name
Title | ||
|---|---|---|
GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks |
Abstract | ||
|---|---|---|
Modern enterprises attach much attention to the selection of commercial locations. With the rapid development of urban data and machine learning, we can discover the patterns of human mobility with these data and technology to guide commercial district discovery. In this article, we propose an unsupervised commercial district discovery framework via embedding space clustering on graph convolution ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TII.2021.3051934 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Roads,Public transportation,Urban areas,Trajectory,Convolution,Informatics,Global Positioning System | Journal | 18 |
Issue | ISSN | Citations |
1 | 1551-3203 | 5 |
PageRank | References | Authors |
0.40 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guojiang Shen | 1 | 86 | 13.23 |
| Zhenzhen Zhao | 2 | 5 | 0.40 |
| Xiangjie Kong | 3 | 425 | 46.56 |