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Multi-Range Attentive Bicomponent Graph Convolutional Network for
  Traffic Forecasting

Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting

27 November 2019
Weiqiu Chen
Ling Chen
Yu Xie
Wei Cao
Yusong Gao
Xiaojie Feng
    AI4TS
ArXivPDFHTML

Papers citing "Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting"

50 / 69 papers shown
Title
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
184
0
0
30 Nov 2024
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting
Tengfei Lyu
Weijia Zhang
Jinliang Deng
Hao Liu
AI4TS
24
0
0
25 Sep 2024
Geolocation Representation from Large Language Models are Generic
  Enhancers for Spatio-Temporal Learning
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
Junlin He
Tong Nie
Wei Ma
AI4TS
26
2
0
22 Aug 2024
Efficient User Sequence Learning for Online Services via Compressed
  Graph Neural Networks
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
Yucheng Wu
Liyue Chen
Yu Cheng
Shuai Chen
Jinyu Xu
Leye Wang
GNN
32
0
0
05 Jun 2024
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
Sanghyun Lee
Chanyoung Park
AI4TS
44
0
0
04 Jun 2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery
LightTR: A Lightweight Framework for Federated Trajectory Recovery
Ziqiao Liu
Hao Miao
Yan Zhao
Chenxi Liu
Kai Zheng
Huan Li
23
20
0
06 May 2024
Continuously Evolving Graph Neural Controlled Differential Equations for
  Traffic Forecasting
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting
Jiajia Wu
Ling Chen
AI4TS
29
2
0
26 Jan 2024
A novel hybrid time-varying graph neural network for traffic flow
  forecasting
A novel hybrid time-varying graph neural network for traffic flow forecasting
Ben Ao Dai
Bao-Lin Ye
Lingxi Li
AI4TS
15
4
0
17 Jan 2024
FCDNet: Frequency-Guided Complementary Dependency Modeling for
  Multivariate Time-Series Forecasting
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting
Weijun Chen
Heyuan Wang
Ye Tian
Shijie Guan
Ning Liu
AI4TS
25
1
0
27 Dec 2023
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series
  Forecasting
TPRNN: A Top-Down Pyramidal Recurrent Neural Network for Time Series Forecasting
Ling Chen
Jiahua Cui
AI4TS
22
1
0
11 Dec 2023
Short-term prediction of construction waste transport activities using
  AI-Truck
Short-term prediction of construction waste transport activities using AI-Truck
Meng Xu
Ke Han
15
0
0
07 Dec 2023
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for
  Traffic Forecast via Structural Entropy Optimization
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
Dongcheng Zou
Senzhang Wang
Xuefeng Li
Hao Peng
Yuandong Wang
Chunyang Liu
Kehua Sheng
Bo-Wen Zhang
AI4TS
28
20
0
06 Nov 2023
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic
  Forecasting
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
Qian Ma
Zijian Zhang
Xiangyu Zhao
Haoliang Li
Hongwei Zhao
Yiqi Wang
Zitao Liu
Wanyu Wang
24
12
0
20 Sep 2023
Unified Data Management and Comprehensive Performance Evaluation for
  Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
29
2
0
24 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Zihang Liu
Le Yu
T. Zhu
Lei Sun
AI4TS
21
0
0
22 Aug 2023
Graph Structural Residuals: A Learning Approach to Diagnosis
Graph Structural Residuals: A Learning Approach to Diagnosis
Jan Lukas Augustin
Oliver Niggemann
23
2
0
14 Aug 2023
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow
  Prediction
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction
Weilong Ding
Tianpu Zhang
Jianwu Wang
Zhuofeng Zhao
AI4TS
23
0
0
10 Aug 2023
Adaptive Graph Convolution Networks for Traffic Flow Forecasting
Adaptive Graph Convolution Networks for Traffic Flow Forecasting
Zhengdao Li
W. Li
K. Hwang
AI4TS
AI4CE
20
1
0
07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
41
143
0
07 Jul 2023
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for
  Traffic Forecasting
DSTCGCN: Learning Dynamic Spatial-Temporal Cross Dependencies for Traffic Forecasting
Binqing Wu
Ling-Hao Chen
GNN
AI4TS
31
3
0
02 Jul 2023
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural
  Networks for Traffic Prediction
STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNN
AI4TS
31
6
0
02 Jul 2023
Learning Gaussian Mixture Representations for Tensor Time Series
  Forecasting
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting
Jiewen Deng
Jinliang Deng
Renhe Jiang
Xuan Song
AI4TS
31
5
0
01 Jun 2023
Traffic Prediction using Artificial Intelligence: Review of Recent
  Advances and Emerging Opportunities
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan
Collin Meese
Wanxin Li
Xiaoliang (George) Zhao
Mark M. Nejad
38
109
0
31 May 2023
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in
  Road Networks
TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks
Baixiang Huang
Bryan Hooi
Kai Shu
15
6
0
17 Apr 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
AI4TS
AI4CE
85
181
0
25 Mar 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for
  Traffic Demand Forecasting: An Edge-Computing Approach
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Mahmoud Nazzal
Abdallah Khreishah
Joyoung Lee
Shaahin Angizi
Ala I. Al-Fuqaha
Mohsen Guizani
31
6
0
28 Feb 2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Zhichen Lai
Dalin Zhang
Huan Li
Christian S. Jensen
Hua Lu
Yan Zhao
AI4TS
35
29
0
23 Feb 2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and
  Accurate Spatiotemporal Learning Perspective
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Xu Wang
Pengfei Gu
Pengkun Wang
Binwu Wang
Zhengyang Zhou
Lei Bai
Yang Wang
GNN
12
3
0
27 Jan 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for
  Traffic Flow Prediction
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
Jiawei Jiang
Chengkai Han
Wayne Xin Zhao
Jingyuan Wang
AI4TS
20
245
0
19 Jan 2023
Beyond Graph Convolutional Network: An Interpretable
  Regularizer-centered Optimization Framework
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework
Shiping Wang
Zhihao Wu
Yuhong Chen
Yongzhe Chen
GNN
BDL
26
13
0
11 Jan 2023
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow
  Prediction
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
K. Bhaumik
Fahim Faisal Niloy
Saif Mahmud
Simon S. Woo
AI4TS
32
2
0
08 Dec 2022
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs
Osman Ulger
Julian Wiederer
Mohsen Ghafoorian
Vasileios Belagiannis
Pascal Mettes
40
0
0
06 Dec 2022
Multi-task Learning for Sparse Traffic Forecasting
Multi-task Learning for Sparse Traffic Forecasting
Jiezhang Li
Junjun Li
Yue-jiao Gong
17
2
0
18 Nov 2022
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE,
  Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation
Yu Miao
Y. Xu
Danilo P. Mandic
21
1
0
09 Nov 2022
STGC-GNNs: A GNN-based traffic prediction framework with a
  spatial-temporal Granger causality graph
STGC-GNNs: A GNN-based traffic prediction framework with a spatial-temporal Granger causality graph
Silu He
Qinyao Luo
Ronghua Du
Ling Zhao
Haifeng Li
39
36
0
30 Oct 2022
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross
  Merchandise Value Forecast in E-commerce
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce
Borui Ye
Shuo Yang
Binbin Hu
Qing Cui
Youqiang He
Kai Huang
Jun Zhou
Yanming Fang
27
4
0
27 Jul 2022
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using
  Traffic Forecasting
RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting
Shreshth Tuli
Matthew R. Wilkinson
C. Kettell
20
5
0
11 Jun 2022
Spatial-Temporal Interactive Dynamic Graph Convolution Network for
  Traffic Forecasting
Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
Aoyun Liu
Yaying Zhang
GNN
AI4TS
26
27
0
18 May 2022
Spatio-Temporal-Frequency Graph Attention Convolutional Network for
  Aircraft Recognition Based on Heterogeneous Radar Network
Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network
Hann Meng
Yuexing Peng
Wenbo Wang
Peng Cheng
Yonghui Li
Wei Xiang
32
10
0
15 Apr 2022
Sparsification and Filtering for Spatial-temporal GNN in Multivariate
  Time-series
Sparsification and Filtering for Spatial-temporal GNN in Multivariate Time-series
Yuanrong Wang
T. Aste
AI4TS
26
10
0
08 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference
Multivariate Time Series Forecasting with Latent Graph Inference
Victor Garcia Satorras
Syama Sundar Rangapuram
Tim Januschowski
AI4TS
38
28
0
07 Mar 2022
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series
  Forecasting
Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting
Lin Huang
Lijun Wu
Jia Zhang
Jiang Bian
Tie-Yan Liu
AI4TS
31
2
0
18 Feb 2022
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
Ming Jin
Yu Zheng
Yuanhao Li
Siheng Chen
B. Yang
Shirui Pan
BDL
AI4TS
AI4CE
20
100
0
17 Feb 2022
Balanced Graph Structure Learning for Multivariate Time Series
  Forecasting
Balanced Graph Structure Learning for Multivariate Time Series Forecasting
Weijun Chen
Yanze Wang
Chengshuo Du
Zhenglong Jia
Feng Liu
Ran Chen
AI4TS
23
1
0
24 Jan 2022
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series
  Forecasting
Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting
Ling-Hao Chen
Donghui Chen
Zongjiang Shang
Binqing Wu
Cen Zheng
Bo Wen
Wei Zhang
AI4TS
AI4CE
24
61
0
13 Jan 2022
AutoCTS: Automated Correlated Time Series Forecasting -- Extended
  Version
AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version
Xinle Wu
Dalin Zhang
Chenjuan Guo
Chaoyang He
B. Yang
Christian S. Jensen
AI4TS
31
68
0
21 Dec 2021
Scale-Aware Neural Architecture Search for Multivariate Time Series
  Forecasting
Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
Donghui Chen
Ling-Hao Chen
Zongjiang Shang
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
38
7
0
14 Dec 2021
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic
  Forecasting
DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
Yanjun Qin
Yuchen Fang
Haiyong Luo
Fang Zhao
Chenxing Wang
AI4TS
86
9
0
04 Dec 2021
Spatio-Temporal Joint Graph Convolutional Networks for Traffic
  Forecasting
Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting
Chuanpan Zheng
Xiaoliang Fan
Shirui Pan
Haibing Jin
Zhaopeng Peng
Zonghan Wu
Cheng-Yu Wang
Philip S. Yu
GNN
AI4TS
12
48
0
25 Nov 2021
Learning from Multiple Time Series: A Deep Disentangled Approach to
  Diversified Time Series Forecasting
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting
Ling-Hao Chen
Weiqiu Chen
Binqing Wu
Youdong Zhang
Bo Wen
Chenghu Yang
AI4TS
4
4
0
09 Nov 2021
12
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