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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

6 July 2020
Lei Bai
Lina Yao
Can Li
Xianzhi Wang
Can Wang
    GNN
    AI4TS
ArXivPDFHTML

Papers citing "Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting"

50 / 76 papers shown
Title
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
Yiming Niu
Jinliang Deng
L. Zhang
Zimu Zhou
Yongxin Tong
AI4TS
26
0
0
09 May 2025
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
2DXformer: Dual Transformers for Wind Power Forecasting with Dual Exogenous Variables
Y. Zhang
Jiahai Jiang
Yule Yan
Liang Yang
Ping Zhang
AI4TS
21
0
0
02 May 2025
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
Xinlong Zhao
L. Zhang
Tianbo Zou
Yan Zhang
AI4TS
26
0
0
01 May 2025
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
Xiao Zheng
Saeed Asadi Bagloee
Majid Sarvi
AI4TS
36
0
0
30 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Efficient Learning on Large Graphs using a Densifying Regularity Lemma
Jonathan Kouchly
Ben Finkelshtein
M. Bronstein
Ron Levie
39
0
0
25 Apr 2025
Urban Computing in the Era of Large Language Models
Urban Computing in the Era of Large Language Models
Zhonghang Li
Lianghao Xia
Xubin Ren
J. Tang
Tianyi Chen
Yong-mei Xu
C. Huang
76
0
0
02 Apr 2025
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
Weiyang Kong
Kaiqi Wu
Sen Zhang
Yubao Liu
AI4TS
GNN
71
0
0
27 Feb 2025
SUSTeR: Sparse Unstructured Spatio Temporal Reconstruction on Traffic Prediction
Yannick Wölker
Christian Beth
Matthias Renz
Arne Biastoch
AI4TS
39
1
0
24 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning
Minbo Ma
Kai Tang
Huan Li
Fei Teng
Dalin Zhang
Tianrui Li
AI4TS
34
0
0
24 Feb 2025
PPGF: Probability Pattern-Guided Time Series Forecasting
PPGF: Probability Pattern-Guided Time Series Forecasting
Yanru Sun
Zongxia Xie
Haoyu Xing
Hualong Yu
Q. Hu
AI4TS
46
0
0
18 Feb 2025
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Collaborative Deterministic-Diffusion Model for Probabilistic Spatiotemporal Prediction
Zhi Sheng
Yuan Yuan
Yudi Zhang
Depeng Jin
Yong Li
DiffM
AI4CE
46
0
0
16 Feb 2025
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Spatiotemporal Graph Neural Networks in short term load forecasting: Does adding Graph Structure in Consumption Data Improve Predictions?
Quoc Viet Nguyen
Joaquín Delgado Fernández
Sergio Potenciano Menci
AI4TS
57
0
0
14 Feb 2025
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
MedGNN: Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification
Wei Fan
Jingru Fei
Dingyu Guo
Kun Yi
Xiaozhuang Song
Haolong Xiang
Hangting Ye
Min Li
AI4TS
93
1
0
06 Feb 2025
Dynamic Trend Fusion Module for Traffic Flow Prediction
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen
Haocheng Ye
Zhian Ying
Yuntao Sun
Wenqiang Xu
AI4TS
36
6
0
18 Jan 2025
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network
Dongran Zhang
Jiangnan Yan
K. Polat
A. Alhudhaif
Jun Li
AI4TS
29
11
0
31 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Hanghang Tong
82
0
0
21 Dec 2024
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting
Shaohan Yu
Pan Deng
Yu Zhao
J. Liu
Ziáng Wang
MoE
143
0
0
30 Nov 2024
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
UniFlow: A Foundation Model for Unified Urban Spatio-Temporal Flow Prediction
Yuan Yuan
Jingtao Ding
Chonghua Han
Depeng Jin
Yong Li
Yong Li
AI4TS
AI4CE
79
2
0
20 Nov 2024
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
107
0
0
28 Oct 2024
Incorporating Long-term Data in Training Short-term Traffic Prediction
  Model
Incorporating Long-term Data in Training Short-term Traffic Prediction Model
Xiannan Huang
Shuhan Qiu
Yan Cheng
Quan Yuan
Chao Yang
AI4TS
28
0
0
16 Oct 2024
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal
  Interactive Traffic Forecasting Framework
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Framework
Mu Liu
MingChen Sun YingJi Li
Ying Wang
AI4TS
37
0
0
12 Oct 2024
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow
  Prediction Method
UMOD: A Novel and Effective Urban Metro Origin-Destination Flow Prediction Method
Peng Xie
Minbo Ma
Bin Wang
Junbo Zhang
Tianrui Li
24
0
0
08 Sep 2024
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs
  with Selective State Spaces
SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
Jinhyeok Choi
Heehyeon Kim
Minhyeong An
Joyce Jiyoung Whang
Mamba
22
1
0
17 Jun 2024
Graph Neural Reaction Diffusion Models
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffM
AI4CE
26
2
0
16 Jun 2024
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural
  Networks: Application to Slow Slip Event Extraction
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
Giuseppe Costantino
Sophie Giffard-Roisin
M. Dalla Mura
A. Socquet
AI4TS
28
1
0
06 May 2024
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow
  Prediction
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
Hao Miao
Senzhang Wang
Meiyue Zhang
Diansheng Guo
Funing Sun
Fan Yang
39
1
0
23 Apr 2024
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic
  Flow Prediction
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction
Wenfeng Zhang
Xin Li
Anqi Li
Xiaoting Huang
Ti Wang
Honglei Gao
AI4TS
35
1
0
18 Apr 2024
FairSTG: Countering performance heterogeneity via collaborative
  sample-level optimization
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization
Gengyu Lin
Zhen-Qiang Zhou
Qihe Huang
Kuo Yang
Shifen Cheng
Yang Wang
AI4TS
20
1
0
19 Mar 2024
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning
  Approach
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
Xin Chen
Mingliang Hou
Tao Tang
Achhardeep Kaur
Feng Xia
19
7
0
06 Feb 2024
Tensor-view Topological Graph Neural Network
Tensor-view Topological Graph Neural Network
Tao Wen
Elynn Chen
Yuzhou Chen
26
8
0
22 Jan 2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New
  Framework For Traffic Flow Prediction
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
Haiyang Liu
Chunjiang Zhu
Detian Zhang
AI4TS
22
0
0
07 Jan 2024
Learning Time-aware Graph Structures for Spatially Correlated Time
  Series Forecasting
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Minbo Ma
Jilin Hu
Christian S. Jensen
Fei Teng
Peng Han
Zhiqiang Xu
Tian-Jie Li
AI4TS
44
3
0
27 Dec 2023
Dynamic Frequency Domain Graph Convolutional Network for Traffic
  Forecasting
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting
Yujie Li
Zezhi Shao
Yongjun Xu
Qiang Qiu
Zhaogang Cao
Fei Wang
AI4TS
GNN
17
4
0
19 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal
  Forecasting
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting
Xiaobei Zou
Luolin Xiong
Yang Tang
Jürgen Kurths
AI4TS
29
1
0
05 Dec 2023
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
19
34
0
15 Nov 2023
Exploring Progress in Multivariate Time Series Forecasting:
  Comprehensive Benchmarking and Heterogeneity Analysis
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao
Fei Wang
Yongjun Xu
Wei Wei
Chengqing Yu
...
Guangyin Jin
Xin Cao
Gao Cong
Christian S. Jensen
Xueqi Cheng
AI4TS
18
56
0
09 Oct 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
19
0
0
22 Aug 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
20
3
0
02 Jul 2023
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu
Haomin Wen
Haoyuan Hu
Xiaowei Mao
Yutong Xia
...
Y. Liang
Liuqing Yang
Roger Zimmermann
Youfang Lin
Huaiyu Wan
37
8
0
19 Jun 2023
Revisiting Random Forests in a Comparative Evaluation of Graph
  Convolutional Neural Network Variants for Traffic Prediction
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction
Ta Jiun Ting
Xiaocan Li
Scott Sanner
Baher Abdulhai
AI4TS
6
2
0
30 May 2023
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time
  Series Forecasting
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting
Ryo Umagami
Yusuke Ono
Yusuke Mukuta
Tatsuya Harada
AI4TS
37
3
0
14 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
25
141
0
11 Apr 2023
Towards Better Dynamic Graph Learning: New Architecture and Unified
  Library
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu
Leilei Sun
Bowen Du
Weifeng Lv
AI4CE
20
96
0
23 Mar 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident
  Impact Prediction on Traffic Networks
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks
Yanshen Sun
Kaiqun Fu
Chang-Tien Lu
AI4TS
AI4CE
30
2
0
21 Mar 2023
BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power
  Forecasting in Baidu KDD CUP 2022
BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
Jiawei Jiang
Chengkai Han
Jingyuan Wang
14
5
0
22 Feb 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for
  Meteorological Forecasting Based on Real-Time Observation Data from Ground
  Weather Stations
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu
Yutong Xiong
Ming Wu
Gaozhen Nie
Bin Zhang
Ziheng Yang
AI4TS
19
17
0
21 Feb 2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in
  Traffic Forecasting
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo
Wei Shao
Hao Xue
Piotr Koniusz
Flora D. Salim
AI4TS
31
14
0
20 Feb 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation
Kun Yi
Qi Zhang
LongBing Cao
Shoujin Wang
Guodong Long
Liang Hu
Hui He
ZhenDong Niu
Wei Fan
Hui Xiong
AI4TS
55
21
0
04 Feb 2023
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles
  at Complex and Unsignalized Intersections
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Dawei Wang
Weizi Li
Lei Zhu
Jia-Yu Pan
30
15
0
12 Jan 2023
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
PiPAD: Pipelined and Parallel Dynamic GNN Training on GPUs
Chunyang Wang
Desen Sun
Yunru Bai
GNN
AI4CE
39
15
0
01 Jan 2023
12
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