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Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study

Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study

20 January 2025
Dingyi Zhuang
Hanyong Xu
Xiaotong Guo
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
ArXiv (abs)PDFHTML

Papers citing "Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study"

18 / 18 papers shown
Title
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System
Xiaotong Guo
Hanyong Xu
Dingyi Zhuang
Yunhan Zheng
Jinhua Zhao
56
7
0
29 Dec 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban
  Computing: A Survey
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
G. Jin
Yuxuan Liang
Yuchen Fang
Zezhi Shao
Jincai Huang
Junbo Zhang
Yu Zheng
AI4TSAI4CE
109
204
0
25 Mar 2023
Fairness-enhancing deep learning for ride-hailing demand prediction
Fairness-enhancing deep learning for ride-hailing demand prediction
Yunhan Zheng
Qingyi Wang
Dingyi Zhuang
Shenhao Wang
Jinhua Zhao
84
13
0
10 Mar 2023
Deep hybrid model with satellite imagery: how to combine demand modeling
  and computer vision for behavior analysis?
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis?
Qingyi Wang
Shenhao Wang
Yunhan Zheng
Hongzhou Lin
Xiaohu Zhang
Jinhua Zhao
Joan Walker
48
10
0
07 Mar 2023
Travel Demand Forecasting: A Fair AI Approach
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang
Qian Ke
Xilei Zhao
AI4TS
49
4
0
03 Mar 2023
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient
  Graph Learning for ETA Prediction at Baidu Maps
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Jizhou Huang
Zhengjie Huang
Xiaomin Fang
Shi Feng
Xuyi Chen
Jiaxiang Liu
Haitao Yuan
Haifeng Wang
AI4TS
61
15
0
15 Aug 2022
Uncertainty Quantification of Sparse Travel Demand Prediction with
  Spatial-Temporal Graph Neural Networks
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks
Dingyi Zhuang
Shenhao Wang
Haris N. Koutsopoulos
Jinhua Zhao
61
36
0
11 Aug 2022
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting
  Leveraging Heterogeneous Community Features
A Spatial-temporal Graph Deep Learning Model for Urban Flood Nowcasting Leveraging Heterogeneous Community Features
H. Farahmand
Yuanchang Xu
Ali Mostafavi
AI4CE
87
42
0
09 Nov 2021
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime
  Forecasting
HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting
Chenyu Wang
Zongyu Lin
Xiaochen Yang
Jiao Sun
Mingxuan Yue
Cyrus Shahabi
AI4TS
104
30
0
27 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural
  networks and discrete choice models
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models
Yunhan Zheng
Shenhao Wang
Jinhuan Zhao
HAI
92
28
0
25 Sep 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
101
123
0
11 Aug 2021
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
Zheng Fang
Qingqing Long
Guojie Song
Kunqing Xie
AI4TS
66
476
0
24 Jun 2021
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
GNNAI4TS
84
1,188
0
06 Jul 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain:
  A Survey
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye
Juanjuan Zhao
Kejiang Ye
Chengzhong Xu
GNNAI4TSAI4CE
68
195
0
24 May 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDaFaML
568
4,353
0
23 Aug 2019
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring
  Individual & Group Unfairness via Inequality Indices
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
Till Speicher
Hoda Heidari
Nina Grgic-Hlaca
Krishna P. Gummadi
Adish Singla
Adrian Weller
Muhammad Bilal Zafar
FaML
69
264
0
02 Jul 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus
Angela Zhou
FaML
176
136
0
07 Jun 2018
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNNAI4TS
125
3,715
0
14 Sep 2017
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