A Heterogeneous Attention Network Model for Longitudinal Analysis of Socioeconomic and Racial Inequalities in Urban Regions: Evidence from Chicago, IL

Author:

Kim Namwoo1ORCID,Lee Hyeyeong1ORCID,Yoon Yoonjin1ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea

Funder

National Research Foundation

Publisher

ACM

Reference16 articles.

1. Karen Chapple et al. 2009 . Mapping susceptibility to gentrification: The early warning toolkit. Berkeley, CA: Center for Community Innovation 43 (2009). Karen Chapple et al. 2009. Mapping susceptibility to gentrification: The early warning toolkit. Berkeley, CA: Center for Community Innovation 43 (2009).

2. node2vec

3. Tianyuan Huang , Zhecheng Wang , Hao Sheng , Andrew Y Ng , and Ram Rajagopal . 2021. Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image , Text, Mobility Graph and Beyond. arXiv preprint arXiv:2105.02489 ( 2021 ). Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y Ng, and Ram Rajagopal. 2021. Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond. arXiv preprint arXiv:2105.02489 (2021).

4. Tianyuan Huang , Zhecheng Wang , Hao Sheng , Andrew Y Ng , and Ram Rajagopal . 2021. M3G: Learning Urban Neighborhood Representation from Multi-Modal Multi-Graph. DeepSpatial 2021 ( 2021 ), 2nd. Tianyuan Huang, Zhecheng Wang, Hao Sheng, Andrew Y Ng, and Ram Rajagopal. 2021. M3G: Learning Urban Neighborhood Representation from Multi-Modal Multi-Graph. DeepSpatial 2021 (2021), 2nd.

5. Unsupervised Representation Learning of Spatial Data via Multimodal Embedding

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