Supervised GNNs for Node Label Classification in Highly Sparse Network: Comparative Analysis
Author:
Affiliation:
1. Padjadjaran University,Department of Mathematics,Jatinangor,Indonesia
2. Langlangbuana University,Simula Research Laboratory Oslo,Norway and Department of Informatics,Bandung,Indonesia
Funder
Experiment
Universitas Padjadjaran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10569136/10569095/10569099.pdf?arnumber=10569099
Reference33 articles.
1. Graph neural networks in node classification: survey and evaluation
2. Bag of Tricks for Node Classification with Graph Neural Networks;Wang;arXiv preprint arXiv:2103.13355,2021
3. Simplifying approach to node classification in Graph Neural Networks
4. How powerful are graph neural networks?;Xu
5. A unifying review of graph neural networks;Wang;Proceedings of the IEEE,2021
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