Last years methods of Information Visualization are getting more and more popular in such areas as biological sciences, artificial intelligence, business analytics, etc. Information Visualization is a process of transformation of large and complex abstract forms of information into visual form, strengthening user's cognitive abilities and allowing them to take the most optimal decisions. Graphs and trees are widely used for abstract information representation. The aim of this paper is to show evolution of graph drawing methods with respect to Information Visualization needs.