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Graph Neural Network for Traffic Forecasting: A Survey

Graph Neural Network for Traffic Forecasting: A Survey

27 January 2021
Weiwei Jiang
Jiayun Luo
    GNN
    AI4TS
    AI4CE
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Papers citing "Graph Neural Network for Traffic Forecasting: A Survey"

50 / 62 papers shown
Title
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Quantifying the Noise of Structural Perturbations on Graph Adversarial Attacks
Junyuan Fang
Han Yang
Haixian Wen
Jiajing Wu
Zibin Zheng
Chi K. Tse
AAML
46
0
0
29 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
Chenyu Huang
83
0
0
02 Apr 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis
Paolo Bonfini
Negin Alisoltani
Konstantinos Blazakis
Symeon I. Tsintzos
Alexis Askitopoulos
Davit Aghamalyan
Panagiotis Fafoutellis
Eleni I. Vlahogianni
43
0
0
22 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning
MADE: Graph Backdoor Defense with Masked Unlearning
Xiao Lin amd Mingjie Li
Mingjie Li
Yisen Wang
AAML
95
1
0
03 Jan 2025
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach
Mohit Gupta
Debjit Bhowmick
Meead Saberi
Shirui Pan
Ben Beck
GNN
16
0
0
11 Oct 2024
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
Giuseppe Alessio DÍnverno
Saeid Moradizadeh
Sajad Salavatidezfouli
Pasquale Claudio Africa
G. Rozza
AI4CE
38
0
0
04 Oct 2024
Spatiotemporal Covariance Neural Networks
Spatiotemporal Covariance Neural Networks
Andrea Cavallo
Mohammad Sabbaqi
Elvin Isufi
29
3
0
16 Sep 2024
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNN
AI4TS
43
1
0
26 Jul 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event
  Detection
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey
Junyi Ji
Marcos Quiñones-Grueiro
William Barbour
Yuhang Zhang
Tyler Derr
Gautam Biswas
Daniel B. Work
16
7
0
21 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina
Ankit Gangwal
Aaryan Ajay Sharma
Charu Sharma
50
1
0
07 Jun 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual
  Self-Distillation
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation
Lirong Wu
Haitao Lin
Zhangyang Gao
Guojiang Zhao
Stan Z. Li
40
8
0
06 Mar 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
47
5
0
09 Feb 2024
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave
  Prediction
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
Raphael Chekroun
Han Wang
Jonathan W. Lee
Marin Toromanoff
Sascha Hornauer
Fabien Moutarde
M. D. Monache
28
0
0
08 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency
  between Attribute and Graph Embedding Representations
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
Jinlu Wang
Jipeng Guo
Yanfeng Sun
Junbin Gao
Shaofan Wang
Yachao Yang
Baocai Yin
AI4CE
38
2
0
28 Jan 2024
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru
Yang Cheng
Steven T. Parker
Ernie Perry
Bin Ran
S. Ahn
33
0
0
23 Jan 2024
Adaptive Dependency Learning Graph Neural Networks
Adaptive Dependency Learning Graph Neural Networks
Abishek Sriramulu
Nicolas Fourrier
Christoph Bergmeir
AI4TS
AI4CE
32
21
0
06 Dec 2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution
  Networks
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Xiaoru Xie
Hongwu Peng
Amit Hasan
Shaoyi Huang
Jiahui Zhao
Haowen Fang
Wei Zhang
Tong Geng
O. Khan
Caiwen Ding
GNN
30
30
0
22 Aug 2023
Automated Polynomial Filter Learning for Graph Neural Networks
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu
Zhichao Hou
Xiaorui Liu
21
0
0
16 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
28
3
0
02 Jul 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph
  Neural Networks
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
Wentao Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
24
12
0
20 Jun 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic
  Forecasting
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting
Zibo Liu
Parshin Shojaee
Chandan K. Reddy
AI4TS
AI4CE
26
9
0
30 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
51
141
0
11 Apr 2023
BS-GAT Behavior Similarity Based Graph Attention Network for Network
  Intrusion Detection
BS-GAT Behavior Similarity Based Graph Attention Network for Network Intrusion Detection
Yalu Wang
Zhijie Han
Jie Li
Xin He
17
1
0
07 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit
  Diversity Modeling
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling
Haotao Wang
Ziyu Jiang
Yuning You
Yan Han
Gaowen Liu
Jayanth Srinivasa
Ramana Rao Kompella
Zhangyang Wang
26
28
0
06 Apr 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
13
20
0
28 Mar 2023
Link Prediction for Flow-Driven Spatial Networks
Link Prediction for Flow-Driven Spatial Networks
Bastian Wittmann
Johannes C. Paetzold
Chinmay Prabhakar
Daniel Rueckert
Bjoern H. Menze
GNN
29
7
0
25 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA
  Heterogeneous Platform
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform
Yi-Chien Lin
Bingyi Zhang
Viktor Prasanna
GNN
26
5
0
02 Mar 2023
Dynamic Graph Convolutional Network with Attention Fusion for Traffic
  Flow Prediction
Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction
Xunlian Luo
Chunjiang Zhu
Detian Zhang
Qing Li
GNN
AI4TS
29
6
0
24 Feb 2023
An Efficient Two-stage Gradient Boosting Framework for Short-term
  Traffic State Estimation
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation
Yichao Lu
27
1
0
21 Feb 2023
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN
  Inference
GraphAGILE: An FPGA-based Overlay Accelerator for Low-latency GNN Inference
Bingyi Zhang
Hanqing Zeng
Viktor Prasanna
GNN
26
15
0
02 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh V. Chawla
18
28
0
01 Feb 2023
GANExplainer: GAN-based Graph Neural Networks Explainer
GANExplainer: GAN-based Graph Neural Networks Explainer
Yiqiao Li
Jianlong Zhou
Boyuan Zheng
Fang Chen
LLMAG
32
4
0
30 Dec 2022
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Graph Convolutional Networks for Traffic Forecasting with Missing Values
Jingwei Zuo
K. Zeitouni
Y. Taher
Sandra García-Rodríguez
GNN
AI4TS
31
39
0
13 Dec 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation
  Learning
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning
Siyi Li
Mingrui Zhang
M. Piggott
20
28
0
24 Nov 2022
Measuring the Confidence of Traffic Forecasting Models: Techniques,
  Experimental Comparison and Guidelines towards Their Actionability
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability
I. Laña
Ignacio
I. Olabarrieta
Javier Del Ser
37
1
0
28 Oct 2022
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node
  Injections
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections
Junyuan Fang
Haixian Wen
Jiajing Wu
Qi Xuan
Zibin Zheng
Chi K. Tse
AAML
39
22
0
23 Oct 2022
Reconstruction Attack on Differential Private Trajectory Protection
  Mechanisms
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms
Erik Buchholz
A. Abuadbba
Shuo Wang
Surya Nepal
S. Kanhere
21
12
0
17 Oct 2022
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
Traffic-Aware Autonomous Driving with Differentiable Traffic Simulation
L. Zheng
Sanghyun Son
Ming-Chyuan Lin
27
3
0
07 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
55
36
0
30 Sep 2022
Towards Sparsification of Graph Neural Networks
Towards Sparsification of Graph Neural Networks
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
30
24
0
11 Sep 2022
Prediction-based One-shot Dynamic Parking Pricing
Prediction-based One-shot Dynamic Parking Pricing
Seoyoung Hong
H. Shin
Jeongwhan Choi
Noseong Park
30
5
0
30 Aug 2022
Enhancing the Robustness via Adversarial Learning and Joint
  Spatial-Temporal Embeddings in Traffic Forecasting
Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting
Juyong Jiang
Binqing Wu
Ling-Hao Chen
Kai Zhang
Sunghun Kim
AI4TS
30
18
0
05 Aug 2022
A Baselined Gated Attention Recurrent Network for Request Prediction in
  Ridesharing
A Baselined Gated Attention Recurrent Network for Request Prediction in Ridesharing
Jingran Shen
Nikos Tziritas
Georgios Theodoropoulos
AI4TS
28
7
0
11 Jul 2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search
Yi Qin
Ziwei Zhang
Xin Wang
Zeyang Zhang
Wenwu Zhu
24
26
0
18 Jun 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
34
56
0
19 May 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
34
112
0
21 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey
Graph Neural Networks Designed for Different Graph Types: A Survey
J. M. Thomas
Alice Moallemy-Oureh
Silvia Beddar-Wiesing
Clara Holzhuter
26
29
0
06 Apr 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
97
54
0
08 Feb 2022
Unboxing the graph: Neural Relational Inference for Mobility Prediction
Unboxing the graph: Neural Relational Inference for Mobility Prediction
M. Tygesen
Francisco Câmara Pereira
Filipe Rodrigues
AI4TS
10
2
0
25 Jan 2022
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