diff --git a/example.py b/example.py
index 6e97350..4ac709b 100644
--- a/example.py
+++ b/example.py
@@ -7,12 +7,12 @@
 X = np.array([[1,1], [0,0], [1,0], [0,1]])
 y = np.array([1, 1, 0, 0])
 
-print 'Testing XOR'
+print ('Testing XOR')
 
 for clf, name in [(SVC(kernel=RBF(), C=1000), 'pykernel'), (SVC(kernel='rbf', C=1000), 'sklearn')]:
     clf.fit(X, y)
-    print name
-    print clf
-    print 'Predictions:', clf.predict(X)
-    print 'Accuracy:', accuracy_score(clf.predict(X), y)
-    print
+    print (name)
+    print (clf)
+    print ('Predictions:', clf.predict(X))
+    print( 'Accuracy:', accuracy_score(clf.predict(X), y))
+    print()
diff --git a/pykernels/__init__.py b/pykernels/__init__.py
index 53f0736..de26884 100644
--- a/pykernels/__init__.py
+++ b/pykernels/__init__.py
@@ -1,6 +1,6 @@
-from basic import Linear, Polynomial, RBF
-from regular import Exponential, Laplacian, RationalQuadratic, InverseMultiquadratic, Cauchy, TStudent,\
+from .basic import Linear, Polynomial, RBF
+from .regular import Exponential, Laplacian, RationalQuadratic, InverseMultiquadratic, Cauchy, TStudent,\
                     ANOVA, Spline, Min, Log, Power, Chi2, AdditiveChi2, GeneralizedHistogramIntersection,\
                     Tanimoto, Sorensen, MinMax, Wavelet, Fourier
-from graph.randomwalk import RandomWalk
-from graph.allgraphlets import All34Graphlets
+from .graph.randomwalk import RandomWalk
+from .graph.allgraphlets import All34Graphlets
diff --git a/pykernels/basic.py b/pykernels/basic.py
index 0c72a67..3aa4261 100644
--- a/pykernels/basic.py
+++ b/pykernels/basic.py
@@ -5,9 +5,9 @@
 
 __author__ = 'lejlot'
 
-from pykernels.base import Kernel
+from .base import Kernel
 import numpy as np
-from utils import euclidean_dist_matrix
+from .utils import euclidean_dist_matrix
 
 class Linear(Kernel):
     """
diff --git a/pykernels/graph/__init__.py b/pykernels/graph/__init__.py
index 0d777da..44ee814 100644
--- a/pykernels/graph/__init__.py
+++ b/pykernels/graph/__init__.py
@@ -1,3 +1,3 @@
-from randomwalk import RandomWalk
-from allgraphlets import All34Graphlets
-from shortestpath import ShortestPath
\ No newline at end of file
+from .randomwalk import RandomWalk
+from .allgraphlets import All34Graphlets
+from .shortestpath import ShortestPath
diff --git a/pykernels/graph/allgraphlets.py b/pykernels/graph/allgraphlets.py
index 4681328..6a88006 100644
--- a/pykernels/graph/allgraphlets.py
+++ b/pykernels/graph/allgraphlets.py
@@ -7,7 +7,7 @@
 import itertools
 import numpy as np
 from pykernels.base import Kernel, GraphKernel
-import basic
+from . import basic
 
 def dec2bin(k, bitlength=0):
     """Decimal to binary"""
diff --git a/pykernels/graph/basic.py b/pykernels/graph/basic.py
index effd26c..82f07a1 100644
--- a/pykernels/graph/basic.py
+++ b/pykernels/graph/basic.py
@@ -21,10 +21,10 @@ def graphs_to_adjacency_lists(data):
     try:
         if data.ndim == 3:
             return np.array(data)
-    except Exception, exc:
+    except Exception:
         try:
             return np.array([G.adjacency_matix for G in data])
-        except Exception, exc:
+        except Exception:
             return np.array(data)
 
 def relabel(data, data_2):
diff --git a/pykernels/graph/randomwalk.py b/pykernels/graph/randomwalk.py
index 7a69088..243a409 100644
--- a/pykernels/graph/randomwalk.py
+++ b/pykernels/graph/randomwalk.py
@@ -8,7 +8,7 @@
 from pykernels.base import Kernel, GraphKernel
 from scipy.sparse import lil_matrix, kron,identity
 from scipy.sparse.linalg import lsqr
-import basic
+from . import basic
 
 def _norm(adj_mat):
     """Normalize adjacency matrix"""
diff --git a/pykernels/graph/shortestpath.py b/pykernels/graph/shortestpath.py
index d62f627..a4f5d54 100644
--- a/pykernels/graph/shortestpath.py
+++ b/pykernels/graph/shortestpath.py
@@ -5,7 +5,7 @@
 
 import numpy as np
 import numpy.matlib as matlib
-import basic
+from . import basic
 from pykernels.base import Kernel, GraphKernel
 from scipy.sparse import lil_matrix
 
diff --git a/pykernels/regular.py b/pykernels/regular.py
index c65f01e..8a9b03f 100644
--- a/pykernels/regular.py
+++ b/pykernels/regular.py
@@ -5,9 +5,9 @@
 
 __author__ = 'lejlot'
 
-from pykernels.base import Kernel
+from .base import Kernel
 import numpy as np
-from utils import euclidean_dist_matrix
+from .utils import euclidean_dist_matrix
 import warnings
 
 class Cossim(Kernel):
diff --git a/setup.py b/setup.py
index ced23c5..f913b18 100644
--- a/setup.py
+++ b/setup.py
@@ -28,7 +28,7 @@
             'Intended Audience ::  Machine Learning Research',
             'License :: OSI Approved ::' + LICENSE,
             'Programming Language :: Python :: 2.7',
-            'Programming Language :: Python :: 3',
+            'Programming Language :: Python :: 3.6',
             'Operating System :: OS Independent',
             'Topic :: Software Development :: Libraries :: Python Modules',
             'Topic :: Scientific/Engineering :: Machine Learning',