gammagl.models.GATV2Model

class GATV2Model(feature_dim, hidden_dim, heads, num_class, drop_rate, name=None)[source]

“How Attentive are Graph Attention Networks?” paper.

Parameters:

  • feature_dim (int) – input feature dimension.

  • hidden_dim (int) – hidden dimension.

  • num_class (int) – number of classes.

  • heads (int) – number of attention heads.

  • drop_rate (float) – dropout rate.

  • name (str, optional) – model name.

forward(x, edge_index, num_nodes)[source]

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.