Higher-Order Sparse Convolutions in Graph Neural Networks-Reference-Cited by-同舟云学术

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Higher-Order Sparse Convolutions in Graph Neural Networks

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Giraldo Jhony H.¹,Javed Sajid²,Mahmood Arif³,Malliaros Fragkiskos D.⁴,Bouwmans Thierry⁵

Affiliation:

1. LTCI, Télécom Paris - Institut Polytechnique de Paris,France

2. Khalifa University,United Arab Emirates

3. Information Technology University,Pakistan

4. CentraleSupélec, Inria, Centre for Visual Computing (CVN),Université Paris-Saclay,France

5. La Rochelle Université,Laboratoire MIA,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096494.pdf?arnumber=10096494

Reference31 articles.

1. Graph moving object segmentation;giraldo;IEEE T-PAMI,2022

2. Graph-Based Transforms for Video Coding

3. Variational Splines and Paley–Wiener Spaces on Combinatorial Graphs

4. SIGN: Scalable inception graph neural networks;frasca;ICML WS,2020

5. Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks;Neural Networks;2024-01

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