Key Error gklearn.kernels.treeletKernel

[MHPThesis]

For some Graphs gklearn throws a "Key Error" when generating canonical keys. This does not happen for all graphs, I assume it is limited to this pattern. Help would be highly appreciated!

File ~\Anaconda3\lib\site-packages\gklearn\kernels\treeletKernel.py:128, in treeletkernel(sub_kernel, node_label, edge_label, parallel, n_jobs, chunksize, verbose, *args)
126 canonkeys = []
127 for g in (tqdm(Gn, desc='getting canonkeys', file=sys.stdout) if verbose else Gn):
--> 128 canonkeys.append(get_canonkeys(g, node_label, edge_label, labeled,
129 ds_attrs['is_directed']))
131 # compute kernels.
132 from itertools import combinations_with_replacement

File ~\Anaconda3\lib\site-packages\gklearn\kernels\treeletKernel.py:324, in get_canonkeys(G, node_label, edge_label, labeled, is_directed)
322 treelet = []
323 for pattern in patterns[str(i) + 'star']:
--> 324 canonlist = [tuple((G.nodes[leaf][node_label],
325 G[leaf][pattern[0]][edge_label])) for leaf in pattern[1:]]
326 canonlist.sort()
327 canonlist = list(chain.from_iterable(canonlist))

File ~\Anaconda3\lib\site-packages\gklearn\kernels\treeletKernel.py:325, in (.0)
322 treelet = []
323 for pattern in patterns[str(i) + 'star']:
324 canonlist = [tuple((G.nodes[leaf][node_label],
--> 325 G[leaf][pattern[0]][edge_label])) for leaf in pattern[1:]]
326 canonlist.sort()
327 canonlist = list(chain.from_iterable(canonlist))

File ~\Anaconda3\lib\site-packages\networkx\classes\coreviews.py:51, in AtlasView.getitem(self, key)
50 def getitem(self, key):
---> 51 return self._atlas[key]

KeyError: 1