> ## Documentation Index
> Fetch the complete documentation index at: https://kumo.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# positional_encodings

#### `positional_encodings: <list[list[hop | random_gnn]]>` (Optional)

#### Description

Determines whether positional encodings are used in the GraphTransformer model.

* `hop`: Adds a positional embedding to each node depending on the hop distance to the target entity.
* `random_gnn`: Computes positional embeddings with a Positional GNN based on initial random embeddings and adds them to each node.

#### Supported Task Types

* Node classification and regression

#### Default Values

| [run\_mode](/run-mode) | Default Value         |
| :--------------------- | :-------------------- |
| FAST                   | `[[hop, random_gnn]]` |
| NORMAL                 | `[[hop, random_gnn]]` |
| BEST                   | `[[hop, random_gnn]]` |