Such approaches are able to discover homonymous senses of words, e.g., "bank" as slope versus "bank" as organisation (Di Marco and Navigli, 2012).
as the graphs are usually composed of semantically related words obtained using distributional methods (Baroni and Lenci, 2010;Biemann and Riedl, 2013), the resulting clusters by no means can be considered synsets.