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Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach

16 May 2025
Jinzhou Cao
Xiangxu Wang
Jiashi Chen
Wei Tu
Zhenhui Li
Xindong Yang
Tianhong Zhao
Qingquan Li
    AI4TS
ArXivPDFHTML

Papers citing "Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach"

5 / 5 papers shown
Title
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event
  Prediction
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
G. Jin
Lingbo Liu
Fuxian Li
Jincai Huang
AI4TS
GNN
3DPC
42
35
0
15 Nov 2023
A Survey on Deep Semi-supervised Learning
A Survey on Deep Semi-supervised Learning
Xiangli Yang
Zixing Song
Irwin King
Zenglin Xu
62
576
0
28 Feb 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
297
931
0
02 Mar 2020
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
319
19,991
0
30 Oct 2017
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
555
21,613
0
22 May 2017
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