Abstract Content-based filtering (CBF), one of the most successful recommendation
techniques, is based on correlations between contents. CBF uses item information …

Genetics and molecular biology have contributed to the development of rationalized plant
breeding programs. Recent developments in both high-throughput experimental analyses of …

Complex networks have become high-dimensional, sparse, and redundant due to the rapid
expansion of the Internet. Effective link prediction techniques are needed to obtain the most …

Consensus clustering has been recently applied as a solution to the clustering problem. This
combines multiple clusterings of a set of objects into a single integrated clustering …

In general practice, the perception of noise has been inevitably negative. Specific to data
analytic, most of the existing techniques developed thus far comply with a noise-free …

Many real-world networks have a topological structure characterized by cohesive groups of
vertices. To perform the task of identifying such subsets of vertices, community detection in …

In this paper, we propose a novel model to recommend possible research peers to a user
efficiently. We model all the authors along with their attributes as an attributed graph and …

The growing integration of distributed generation (DG) from renewable energy sources
(RES) in modern power systems highlights the need for advanced hierarchical control …

Graph clustering is a challenging pattern recognition problem whose goal is to identify
vertex partitions with high intra-group connectivity. This paper investigates a bi-objective …

Community embeddings are useful in node classification since they allow nodes to
aggregate relevant information regarding the network structure. Modularity maximization …