Geometric Pooling: Maintaining More Representative Information-Reference-Cited by-同舟云学术

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Geometric Pooling: Maintaining More Representative Information

Published:2024 Issue: Volume:12 Page:54066-54072
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Hao¹^ORCID,Liu Jia¹^ORCID,Shen Yang¹^ORCID,Lou Kenan²^ORCID,Bao Yanxia¹,Zhang Ruihua³,Zhou Shuyue¹^ORCID,Zhao Hongsen¹,Zhu Xinmiao¹,Wang Shuai⁴

Affiliation:

1. College of Mathematics and Computer Science, Lishui University, Lishui, China

2. College of Business, Lishui University, Lishui, China

3. College of Engineering, Lishui University, Lishui, China

4. CNRS, LPL, Aix Marseille University, Aix-en-Provence, France

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Public Welfare Technology Application Research Program Project of Lishui City

Intelligent Manufacturing Technology Innovation Base Project of Lishui City

Construction Project of Lishui University Discipline

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10496995.pdf?arnumber=10496995

Reference35 articles.

1. Order matters: Sequence to sequence for sets;Vinyals

2. Shortest-Path Kernels on Graphs

3. Geometric Deep Learning: Going beyond Euclidean data

4. Convolutional neural networks on graphs with fast localized spectral filtering;Defferrard

5. Weighted Graph Cuts without Eigenvectors A Multilevel Approach

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