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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 |
Licensing
I, the copyright holder of this work, hereby publish it under the following license:
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:02, 30 June 2022 | | 7,810 × 2,010 (740 KB) | NickDiCicco | Correction to the image cropping |
| 14:27, 30 June 2022 |  | 7,810 × 2,020 (742 KB) | NickDiCicco | Correction of a mistake | |
| 14:25, 30 June 2022 |  | 7,820 × 2,020 (743 KB) | NickDiCicco | Uploaded own work with UploadWizard |
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