Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity-Reference-Cited by-同舟云学术

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Graph Classification with Minimum DFS Code: Improving Graph Neural Network Expressivity

Published:2021-12-15 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Gupta Jhalak,Khan Arijit

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671470.pdf?arnumber=9671470

Reference53 articles.

1. Weisfeiler-Lehman Graph Kernels;shervashidze;J Mach Learn Res,2011

2. Conserved patterns of protein interaction in multiple species

3. Explainability Methods for Graph Convolutional Neural Networks

4. Graph Stream Classification using Labeled and Unlabeled Graphs;pan;ICDE,2013

5. Learning Convolutional Neural Networks for Graphs;niepert;ICML,2016

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. Imbalanced Graph Classification with Multi-scale Oversampling Graph Neural Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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