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Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using
  Domain-Adversarial Graph Neural Networks

Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks

16 November 2022
Yuebing Liang
Guan Huang
Zhan Zhao
    OOD
ArXivPDFHTML

Papers citing "Cross-Mode Knowledge Adaptation for Bike Sharing Demand Prediction using Domain-Adversarial Graph Neural Networks"

14 / 14 papers shown
Title
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Joint Estimation and Prediction of City-wide Delivery Demand: A Large Language Model Empowered Graph-based Learning Approach
Tong Nie
Junlin He
Yuewen Mei
Guoyang Qin
Guilong Li
Jian Sun
Wei Ma
86
4
0
30 Aug 2024
Deep trip generation with graph neural networks for bike sharing system
  expansion
Deep trip generation with graph neural networks for bike sharing system expansion
Yuebing Liang
Fangyi Ding
Guan Huang
Zhan Zhao
AI4TS
48
19
0
20 Mar 2023
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation
  Metrics
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics
Yiqiao Li
Jianlong Zhou
Sunny Verma
Fang Chen
XAI
77
40
0
26 Jul 2022
Transfer learning for cross-modal demand prediction of bike-share and
  public transit
Transfer learning for cross-modal demand prediction of bike-share and public transit
Mingzhuang Hua
Francisco Camara Pereira
Yu Jiang
Xuewu Chen
AI4TS
31
2
0
17 Mar 2022
Joint Demand Prediction for Multimodal Systems: A Multi-task
  Multi-relational Spatiotemporal Graph Neural Network Approach
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
48
49
0
15 Dec 2021
Deep Gravity: enhancing mobility flows generation with deep neural
  networks and geographic information
Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information
F. Simini
Gianni Barlacchi
Massimilano Luca
Luca Pappalardo
HAI
60
187
0
01 Dec 2020
A Brief Review of Domain Adaptation
A Brief Review of Domain Adaptation
Abolfazl Farahani
Sahar Voghoei
Khaled Rasheed
H. Arabnia
OOD
50
542
0
07 Oct 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks
XGNN: Towards Model-Level Explanations of Graph Neural Networks
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
78
399
0
03 Jun 2020
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
AI4TS
84
2,164
0
31 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks
GNNExplainer: Generating Explanations for Graph Neural Networks
Rex Ying
Dylan Bourgeois
Jiaxuan You
Marinka Zitnik
J. Leskovec
LLMAG
147
1,323
0
10 Mar 2019
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing
  Network: A Graph Convolutional Neural Network Approach
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach
Lei Lin
Zhengbing He
S. Peeta
GNN
45
375
0
13 Dec 2017
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,199
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,601
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
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