Row, column, and Cartesian product graphs built from lagged pixel correlations improve GNN image classification accuracy over grid and superpixel graphs on MNIST and Fashion-MNIST, with one exception.
Graph signal processing: The 2d companion model,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.IV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Inferring the Graph Structure of Images for Graph Neural Networks
Row, column, and Cartesian product graphs built from lagged pixel correlations improve GNN image classification accuracy over grid and superpixel graphs on MNIST and Fashion-MNIST, with one exception.