Review Article
Survey of Graph Neural Networks and Applications
| Symbols | Descriptions |
| | The eigenvalue of the Laplacian matrix | | Feature matrix | | Graph with vectors and edges | | Degree matrix of vertices (diagonal matrix) | | Adjacency matrix of the graph | | Spectral input signal | | Spectral convolution kernel | | Self-learning parameter | | Diagonal matrix | | -dimensional vector | | Graph convolution | | Adjustable eigenvector matrix | | Chebyshev polynomial obeys | | Number of neighbors | | Attention factors | | Aggregation result of GAT |
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