Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials-Reference-Cited by-同舟云学术

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Improved Modeling and Generalization Capabilities of Graph Neural Networks With Legendre Polynomials

Published:2023 Issue: Volume:11 Page:63442-63450
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Jiali¹^ORCID,Xu Liwen¹^ORCID

Affiliation:

1. College of Science, North China University of Technology, Beijing, China

Funder

National Social Science Fund of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10160025.pdf?arnumber=10160025

Reference38 articles.

1. Protein interface prediction using graph convolutional networks;fout;Proc Adv Neural Inf Process Syst,2017

2. Graph Neural Network for Higher-Order Dependency Networks

3. Graph Neural Networks for Natural Language Processing: A Survey

4. Spatial graph convolutional networks;danel;arXiv 1909 05310,2019

5. Graph convolutional networks for computational drug development and discovery

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