AAGCN: a graph convolutional neural network with adaptive feature and topology learning

Retrieved on: 2024-05-02 15:51:01

Tags for this article:

Machine learning

Cybernetics

Manifold regularization

Citation graph

Training, validation, and test data sets

Regularization

Circuit topology

Collective classification

Cora

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AAGCN: a graph convolutional neural network with adaptive feature and topology learning. View article details on hiswai:

Summary

The article text evaluates the Adaptive Attentional Graph Convolutional Network (AAGCN) model using datasets Cora, Citeseer, and PubMed, demonstrating its enhanced performance for node classification tasks in graph neural networks, particularly in citation graphs, with various metrics like ACC and Macro-F1 score. The tags collectively refer to the domain and aspects of this machine learning research.

Article found on: www.nature.com

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