Graph Neural Network for Traffic Forecasting: A Survey

27 January 2021

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 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 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 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 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 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 Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 38 0 0 04 Oct 2024
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 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 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 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 Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
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 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 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 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 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 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 Wendi Yu Zhichao Hou Xiaorui Liu 21 0 0 16 Jul 2023
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 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 Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 26 9 0 30 May 2023
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 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 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 Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
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 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 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 Yichao Lu 27 1 0 21 Feb 2023
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 Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 18 28 0 01 Feb 2023
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 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 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 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 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 Erik Buchholz A. Abuadbba Shuo Wang Surya Nepal S. Kanhere 21 12 0 17 Oct 2022
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 Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
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 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 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 Jingran Shen Nikos Tziritas Georgios Theodoropoulos AI4TS 28 7 0 11 Jul 2022
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 Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
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 J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
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 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 M. Tygesen Francisco Câmara Pereira Filipe Rodrigues AI4TS 10 2 0 25 Jan 2022