Dave, Vachik S.Zhang, BalchuanChen, Pin-YuAl Hasan, Mohammad2020-04-082020-04-082019-06Dave, V. S., Zhang, B., Chen, P.-Y., & Hasan, M. A. (2019). Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding. Data Science and Engineering, 4(2), 119–131. https://doi.org/10.1007/s41019-019-0092-xhttps://hdl.handle.net/1805/22502Network embedding methodologies, which learn a distributed vector representation for each vertex in a network, have attracted considerable interest in recent years. Existing works have demonstrated that vertex representation learned through an embedding method provides superior performance in many real-world applications, such as node classification, link prediction, and community detection. However, most of the existing methods for network embedding only utilize topological information of a vertex, ignoring a rich set of nodal attributes (such as user profiles of an online social network, or textual contents of a citation network), which is abundant in all real-life networks. A joint network embedding that takes into account both attributional and relational information entails a complete network information and could further enrich the learned vector representations. In this work, we present Neural-Brane, a novel Neural Bayesian Personalized Ranking based Attributed Network Embedding. For a given network, Neural-Brane extracts latent feature representation of its vertices using a designed neural network model that unifies network topological information and nodal attributes. Besides, it utilizes Bayesian personalized ranking objective, which exploits the proximity ordering between a similar node pair and a dissimilar node pair. We evaluate the quality of vertex embedding produced by Neural-Brane by solving the node classification and clustering tasks on four real-world datasets. Experimental results demonstrate the superiority of our proposed method over the state-of-the-art existing methods.enAttribution 4.0 Internationalattributed network embeddingBayesian personalized rankingneural networkArticle