ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.00307
  4. Cited By
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural
  Networks

Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks

1 January 2021
Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
ArXivPDFHTML

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

3 / 3 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-jun Sun
Yu Yang
Jiannong Cao
AI4TS
AI4CE
34
0
0
20 Jan 2025
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
8
13
0
24 Oct 2021
Using Deep Learning and Google Street View to Estimate the Demographic
  Makeup of the US
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
Timnit Gebru
J. Krause
Yilun Wang
Duyun Chen
Jia Deng
Erez Aiden Lieberman
Li Fei-Fei
HAI
82
412
0
22 Feb 2017
1