Update README.md

README.md

@@ -13,6 +13,7 @@ Each user is initially represented by a semantic embedding (vector) computed as
 
 # Files:
 graph_train_and_test.pygeodata: is a compact representation of the graph for PyG usage.
+
 twitter_neighs_graph.json: a dictionary containing:
   - 'adj_sparse': adjacency matrix in sparse representation
   - 'user_init_embs': initial user embedding, computed as average of text embedding of user tweets