diff --git a/.travis.yml b/.travis.yml
index 5ee8c16..66d519e 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -1,6 +1,6 @@
 language: python
 python:
-- '3.6.5'
+- '3.6.9'
 - '3.5'
 - '3.6'
 - '3.7'
diff --git a/README.md b/README.md
index 886aa6b..b91452b 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
 [![Documentation Status](https://readthedocs.org/projects/graphkit-learn/badge/?version=master)](https://graphkit-learn.readthedocs.io/en/master/?badge=master)
 [![PyPI version](https://badge.fury.io/py/graphkit-learn.svg)](https://badge.fury.io/py/graphkit-learn)
 
-A python package for graph kernels, graph edit distances and graph pre-image problem.
+A Python package for graph kernels, graph edit distances and graph pre-image problem.
 
 ## Requirements
 
diff --git a/gklearn/kernels/untilHPathKernel.py b/gklearn/kernels/untilHPathKernel.py
index 052ea93..bc1d71e 100644
--- a/gklearn/kernels/untilHPathKernel.py
+++ b/gklearn/kernels/untilHPathKernel.py
@@ -634,7 +634,7 @@ def paths2labelseqs(plist, G, ds_attrs, node_label, edge_label):
                 tuple(
                     list(
                         chain.from_iterable(
-                            (G.node[node][node_label],
+                            (G.nodes[node][node_label],
                              G[node][path[idx + 1]][edge_label])
                             for idx, node in enumerate(path[:-1]))) +
                     [G.nodes[path[-1]][node_label]]) for path in plist
diff --git a/gklearn/utils/dataset.py b/gklearn/utils/dataset.py
index b36205d..7c2b732 100644
--- a/gklearn/utils/dataset.py
+++ b/gklearn/utils/dataset.py
@@ -407,7 +407,19 @@ class Dataset(object):
 			self.__targets = [self.__targets[i] for i in range_]
 		# @todo
 # 		self.set_labels_attrs()
-	
+
+
+	def trim_dataset(self, edge_required=False):
+		if edge_required:
+			trimed_pairs = [(idx, g) for idx, g in enumerate(self.__graphs) if (nx.number_of_nodes(g) != 0 and nx.number_of_edges(g) != 0)]
+		else:
+			trimed_pairs = [(idx, g) for idx, g in enumerate(self.__graphs) if nx.number_of_nodes(g) != 0]
+		idx = [p[0] for p in trimed_pairs]
+		self.__graphs = [p[1] for p in trimed_pairs]
+		self.__targets = [self.__targets[i] for i in idx]
+		# @todo
+# 		self.set_labels_attrs()
+		
 	
 	def __get_dataset_size(self):
 		return len(self.__graphs)
diff --git a/gklearn/utils/utils.py b/gklearn/utils/utils.py
index d888591..0dca111 100644
--- a/gklearn/utils/utils.py
+++ b/gklearn/utils/utils.py
@@ -134,7 +134,7 @@ def untotterTransformation(G, node_label, edge_label):
 	gt.add_nodes_from(G.nodes(data=True))
 	for edge in G.edges():
 		gt.add_node(edge)
-		gt.nodes[edge].update({node_label: G.node[edge[1]][node_label]})
+		gt.nodes[edge].update({node_label: G.nodes[edge[1]][node_label]})
 		gt.add_edge(edge[0], edge)
 		gt.edges[edge[0], edge].update({
 			edge_label: