Shengyin Wang
Dados Biográficos
| ID | 3635872 |
|---|---|
| NOME | Shengyin Wang |
| PRENOMES | Shengyin |
| SOBRENOME | Wang |
| ASSINATURA | WANG S |
| AFILIAÇÕES | Peking University |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 1 |
| TOTAL DE CITAÇÕES | 9 |
| TOTAL COMO AUTOR | 1 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2020 |
| ÍNDICE H | 1 |
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks
Inferring the unknown properties of a place relies on both its observed attributes and the characteristics of the places to which it is connected. Because place characteristics are unstructured and the metrics for place connections can be diverse, it is challenging to incorporate them in a spatial prediction task where the results could be affected by how the neighborhoods are delineated and where the true relevance among places is hard to identi…
Artificial Intelligence (1 obras) · Computer Science (1 obras) · Convolutional neural network (1 obras) · Data science (1 obras) · Geographic Information Systems Studies (1 obras) · Geography (1 obras) · Graph (1 obras) · Human Mobility and Location-Based Analysis (1 obras) · Machine learning (1 obras) · Mathematics (1 obras)