Node Classification in Complex Networks using Network Embedding Techniques

Node classification is a technique to assign node labels using the network topology and various node features. Many techniques like random walk-based method, label propagation graph regularizations are proposed in this research. Network embedding is a popular method to capture graph structure in low dimensional vector space and can capture the features of the nodes properly. In this paper, the popular embedding techniques are visualized on various data-sets and introduce the idea of network embedding techniques to perform the node classification task.