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Why tfgnn.gather_first_node() can't get values for mutiple node sets in one time? #872

@SidneyLann

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@SidneyLann
    def readout_features(self, graphTensor: tfgnn.GraphTensor, feature_name: str) -> tf.Tensor:
    """Extract features using dynamic root node type from context"""
    # 1. Get root node type from context feature
    root_node_type = graphTensor.context["root_node_type"]  # Shape [batch_size, 1]
    #root_node_type = tf.squeeze(root_node_type, axis=1)      # Shape [batch_size]
    
    batch_size = tf.shape(root_node_type)[0]
    features = tf.TensorArray(tf.float32, size=batch_size)
    
    for i in tf.range(batch_size):
            current_type = root_node_type[i]
            component = tfgnn.get_component(graph_tensor, i)
            feature = tfgnn.gather_first_node(
                    component,
                    node_set_name=current_type,
                    feature_name=tfgnn.HIDDEN_STATE
            )
            features = features.write(i, feature)
    
    return features.stack()

It is very inconvenient to get embeddings for first nodes mutiple node sets in one time.

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