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Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
v1v2 (latest)

Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks

Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
ArXiv (abs)PDFHTML

Papers citing "Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks"

5 / 5 papers shown
Title
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning
Tong Nie
Wei Ma
Jian Sun
Yu Yang
Jiannong Cao
AI4TSAI4CE
89
0
0
20 Jan 2025
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin
Xueming Yan
Shiqing Liu
Xiangyu Wang
130
3
0
19 Jun 2024
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction
Xiaowei Gao
Xinke Jiang
Dingyi Zhuang
Huanfa Chen
Shenhao Wang
Stephen Law
James Haworth
102
11
0
10 Sep 2023
The maximum capability of a topological feature in link prediction
The maximum capability of a topological feature in link prediction
Yijun Ran
Xiao-ke Xu
Tao Jia
50
17
0
30 Jun 2022
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Neural Embeddings of Urban Big Data Reveal Emergent Structures in Cities
Chao Fan
Mengke Zhang
Ali Mostafavi
AI4CE
72
14
0
24 Oct 2021

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