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Power spectrum signatures of graphs
2026/07/01 by
Ka Man Yim
,
Karamatou Yacoubou Djima
paper
· doi:10.1016/j.acha.2026.101893
Citations
Signature Methods in Machine Learning
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
How Powerful are Graph Neural Networks?
Residual Gated Graph ConvNets
Optimal Mass Transport: Signal processing and machine-learning applications
Semi-Supervised Classification with Graph Convolutional Networks
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
The Rotation of Eigenvectors by a Perturbation. III
Can One Hear the Shape of a Drum?
Diffusion maps