Gct-TTE: graph convolutional transformer for travel time estimation

Gct-TTE: graph convolutional transformer for travel time estimation

Abstract This paper introduces a new transformer-based model for the problem of travel time estimation. The key feature of the proposed GCT-TTE architecture is the utilization of different data modalities capturing different properties of an input path. Along with the extensive study regarding the m...

Full description

Bibliographic Details
Main Authors:	Vladimir Mashurov, Vaagn Chopuryan, Vadim Porvatov, Arseny Ivanov, Natalia Semenova
Format:	Article
Language:	English
Published:	SpringerOpen 2024-01-01
Series:	Journal of Big Data
Subjects:	Machine learning Graph convolutional networks Transformers Geospatial data Travel time estimation
Online Access:	https://doi.org/10.1186/s40537-023-00841-1

Similar Items

Combined gated graph convolution neural networks with multi-modal geospatial data for forest type classification
by: Huiqing Pei, et al.
Published: (2025-02-01)

Prediction of Urban Taxi Travel Demand by Using Hybrid Dynamic Graph Convolutional Network Model
by: Jinbao Zhao, et al.
Published: (2022-08-01)

A Knowledge Graph Convolutional Networks Method for Countryside Ecological Patterns Recommendation by Mining Geographical Features
by: Xuhui Zeng, et al.
Published: (2022-12-01)

Geospatial Mapping of Large-Scale Electric Power Grids: A Residual Graph Convolutional Network-Based Approach with Attention Mechanism
by: Razzaqul Ahshan, et al.
Published: (2025-05-01)

Construct and Query A Fine-Grained Geospatial Knowledge Graph
by: Bo Wei, et al.
Published: (2024-01-01)

SCGFormer: Semantic Chebyshev Graph Convolution Transformer for 3D Human Pose Estimation
by: Jiayao Liang, et al.
Published: (2024-02-01)

Embedded, Real-Time, and Distributed Traveling Wave Fault Location Method Using Graph Convolutional Neural Networks
by: Miguel Jiménez-Aparicio, et al.
Published: (2022-10-01)

Self-paced Gaussian-based graph convolutional network: predicting travel flow and unravelling spatial interactions through GPS trajectory data
by: Shuhui Gong, et al.
Published: (2024-12-01)

A comprehensive review of graph convolutional networks: approaches and applications
by: Xinzheng Xu, et al.
Published: (2023-05-01)

Global Relation Reasoning Graph Convolutional Networks for Human Pose Estimation
by: Rui Wang, et al.
Published: (2020-01-01)

To travel or not to travel during COVID-19: The influence of political ideology on travel intentions in the USA
by: Jelena Vukomanovic, et al.
Published: (2022-11-01)

Detecting health misinformation: A comparative analysis of machine learning and graph convolutional networks in classification tasks
by: Bharti Khemani, et al.
Published: (2024-06-01)

Poisson kernel: avoiding self-smoothing in graph convolutional networks
by: Yang, Ziqing, et al.
Published: (2022)

Hyperspectral Image Classification with Localized Graph Convolutional Filtering
by: Shengliang Pu, et al.
Published: (2021-02-01)

Dual graph convolutional neural network for predicting chemical networks
by: Shonosuke Harada, et al.
Published: (2020-04-01)

Graph contrast learning for recommendation based on relational graph convolutional neural network
by: Xiaoyang Liu, et al.
Published: (2024-10-01)

Scalable Graph Convolutional Networks With Fast Localized Spectral Filter for Directed Graphs
by: Chensheng Li, et al.
Published: (2020-01-01)

Dubins Traveling Salesman Problem with Neighborhoods: A Graph-Based Approach
by: Jason T. Isaacs, et al.
Published: (2013-02-01)

Pre-weighted Modulated Dense Graph Convolutional Networks for 3D Human Pose Estimation
by: MA Jinlin, CUI Qilei, MA Ziping, YAN Qi, CAO Haojie, WU Jiangtao
Published: (2024-04-01)

Regularized Simple Graph Convolution (SGC) for improved interpretability of large datasets
by: Phuong Pho, et al.
Published: (2020-10-01)

Enhanced Graph Representation Convolution: Effective Inferring Gene Regulatory Network Using Graph Convolution Network with Self-Attention Graph Pooling Layer
by: Duaa Mohammad Alawad, et al.
Published: (2024-08-01)

Semantic–Structural Graph Convolutional Networks for Whole-Body Human Pose Estimation
by: Weiwei Li, et al.
Published: (2022-02-01)

Human Pose Estimation Based on a Spatial Temporal Graph Convolutional Network
by: Meng Wu, et al.
Published: (2023-03-01)

Graph Convolutional Networks Guided by Explicitly Estimated Homophily and Heterophily Degree
by: Rui Zhang, et al.
Published: (2022-10-01)

Graph Convolutional Network Design for Node Classification Accuracy Improvement
by: Mohammad Abrar Shakil Sejan, et al.
Published: (2023-08-01)

Meta-path convolution based heterogeneous graph neural network algorithm
by: QIN Zhilong, et al.
Published: (2024-03-01)

Meta-path convolution based heterogeneous graph neural network algorithm
by: QIN Zhilong, et al.
Published: (2024-03-01)

Interpreting Deep Graph Convolutional Networks with Spectrum Perspective
by: Sisi Zhang, et al.
Published: (2023-05-01)

The question answering system GeoQA2 and a new benchmark for its evaluation
by: Sergios-Anestis Kefalidis, et al.
Published: (2024-11-01)

Adaptive Graph Convolution Using Heat Kernel for Attributed Graph Clustering
by: Danyang Zhu, et al.
Published: (2020-02-01)

Graph Deep Learning: State of the Art and Challenges
by: Stavros Georgousis, et al.
Published: (2021-01-01)

Coordinate-Corrected and Graph-Convolution-Based Hand Pose Estimation Method
by: Dang Rong, et al.
Published: (2024-11-01)

Joint graph convolution networks and transformer for human pose estimation in sports technique analysis
by: Hongren Cheng, et al.
Published: (2023-12-01)

Coarse-to-Fine Hand–Object Pose Estimation with Interaction-Aware Graph Convolutional Network
by: Maomao Zhang, et al.
Published: (2021-12-01)

ERGCN: Enhanced Relational Graph Convolution Network, an Optimization for Entity Prediction Tasks on Temporal Knowledge Graphs
by: Yinglin Wang, et al.
Published: (2022-12-01)

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph
by: Weiping Ding, et al.
Published: (2022-01-01)

A novel image clustering method based on coupled convolutional and graph convolutional network
by: Rangjun Li
Published: (2021-11-01)

View graph construction for scenes with duplicate structures via graph convolutional network
by: Yang Peng, et al.
Published: (2022-08-01)

Improving Variational Graph Autoencoders With Multi-Order Graph Convolutions
by: Lining Yuan, et al.
Published: (2024-01-01)

TriGCN: Graph Convolution Network Based on Tripartite Graph for Personalized Medicine Recommendation System
by: Huan Zhou, et al.
Published: (2024-09-01)