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2211.08903
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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
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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
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
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
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
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
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
F. Simini
Gianni Barlacchi
Massimilano Luca
Luca Pappalardo
HAI
60
187
0
01 Dec 2020
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
Haonan Yuan
Jiliang Tang
Xia Hu
Shuiwang Ji
78
399
0
03 Jun 2020
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
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
Lei Lin
Zhengbing He
S. Peeta
GNN
45
375
0
13 Dec 2017
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
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,601
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
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