File:GNN building blocks.png
Summary
| Description |
English: Basic building blocks of a Graph Neural Network. (1) Permutation equivariant transformation. (2) Local pooling. (3) Global pooling (or readout). Colors indicate node features. |
| Date | |
| Source | Own work |
| Author | NickDiCicco |
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