Abstract Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual environments and massive open courses. While these offer a variety features, none them incorporates module that accurately predicts students’ academic performance commitment. Consequently, it is crucial design machine (ML) methods predict student identify a...

Many graph mining applications rely on detecting subgraphs which are large near-cliques. There exists a dichotomy between the results in the existing work related to this problem: on the one hand formulations that are geared towards finding large near-cliques are NP-hard and frequently inapproximable due to connections with the Maximum Clique problem. On the other hand, the densest subgraph pro...

let $r$ be a commutative ring with identity. let $g(r)$ denote the maximal graph associated to $r$, i.e., $g(r)$ is a graph with vertices as the elements of $r$, where two distinct vertices $a$ and $b$ are adjacent if and only if there is a maximal ideal of $r$ containing both. let $gamma(r)$ denote the restriction of $g(r)$ to non-unit elements of $r$. in this paper we study the various graphi...

Sleep is an essential integrant in everyone's daily life. Thereby, it important but challenging problem to construct a reliable and stable system, that can monitor user's sleep quality automatically. In this brief, we combine complex network deep learning propose novel Graph-Temporal fused dual-input Convolutional Neural Network (CNN) method detect stages by using the Sleep-EDF database. Firstl...