Web Tool For Graph Embeddings Representation Techniques Evaluation

Graphs are important structures used in wide range of applications techniques for graph analysis proposed in the literature. At recent time, graph embeddings can be found as one of the most popular techniques used for graph analysis. There are plenty graph embedding techniques, but the choice of the most appropriate one is a challenging task which depends on the type of the graph and the intended application. The aim of this paper is to present a web-based tool with a simple user interface that enables performance comparison of different models for graph transformation. The system allows graph embeddings models comparison for three different tasks node classification, edge prediction and graph reconstruction. Additionally, the users can compare specific algorithms performance for different values of their hyperparameters. This supports and accelerates the process of selecting the most appropriate model for graph transformation and enables the use of these models by a larger number of people in different scientific disciplines.