Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis-Reference-Cited by-同舟云学术

Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis

Published:2023-12 Issue:12 Volume:45 Page:14625-14638
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Sabbaqi Mohammad¹^ORCID,Isufi Elvin¹^ORCID

Affiliation:

1. Intelligent Systems Department, Delft University of Technology, Delft, CD, The Netherlands

Funder

TU Delft AI Labs

TTW-OTP project GraSPA

Dutch Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10239277.pdf?arnumber=10239277

Reference54 articles.

1. Convolutional Neural Network Architectures for Signals Supported on Graphs

2. Geometric deep learning: Grids, groups, graphs, geodesics, and gauges;bronstein,2021

3. Graph Neural Networks: Architectures, Stability, and Transferability

4. Convolutional neural networks on graphs with fast localized spectral filtering;defferrardbresson;Advances in neural information processing systems,2016

5. GMAN: A Graph Multi-Attention Network for Traffic Prediction

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