doc fix

Author: GiovanniCanali

pina/model/block/message_passing/en_equivariant_network_block.py

@@ -24,7 +24,9 @@ class EnEquivariantNetworkBlock(MessagePassing):
     the incoming messages and the node features. Here, also the node
     positions are updated by adding the incoming messages divided by the
     degree of the recipient node.
+
     .. seealso::
+
         **Original reference** Satorras, V. G., Hoogeboom, E., Welling, M.
         (2021). *E(n) Equivariant Graph Neural Networks.*
         In International Conference on Machine Learning.