Graph Filters and the <italic>Z</italic>-Laplacian-Reference-Cited by-同舟云学术

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Graph Filters and the Z-Laplacian

Published:2017-09 Issue:6 Volume:11 Page:774-784
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Yan Xiaoran,Sadler Brian M.,Drost Robert J.,Yu Paul L.,Lerman Kristina

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/8010479/07986982.pdf?arnumber=7986982

Cited by 16 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. Black-Box Attacks on Graph Neural Networks via White-Box Methods With Performance Guarantees;IEEE Internet of Things Journal;2024-05-15

2. Unifying and Improving Graph Convolutional Neural Networks with Wavelet Denoising Filters;Proceedings of the ACM Web Conference 2023;2023-04-30

3. Z- Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals;IEEE Transactions on Knowledge and Data Engineering;2023

4. Biased random walk based graph neural network;International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022);2022-06-27

5. Graph-Based Classification With Multiple Shift Matrices;IEEE Transactions on Signal and Information Processing over Networks;2022

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