Network reliability analyses have received much attention in heterogeneous wireless network performance evaluation during the last few years. In this paper, a method for heterogeneous wireless network reliability evaluation to meet the required levels of heterogeneous wireless network differences of various graph-theoretic connectivity measures is proposed. A concept of heterogeneous wireless n...

Network computing seeks to utilize the aggregate resources of many networked computers to solve a single problem. In so doing it is often possible to obtain supercomputer performance from an inexpensive local area network. The drawback is that network computing is complicated and error prone when done by hand, especially if the computers have diierent operating systems and data formats and are ...

Most Heterogeneous Information Network (HIN) embedding methods use meta-paths to guide random walks sample from HIN and perform representation learning in order overcome the bias of traditional that are more biased towards high-order nodes. Their performance depends on suitability generated for current HIN. The definition requires domain expertise, which makes results overly dependent meta-path...

Abstract Most existing heterogeneous information network (HIN) embedding methods focus on static environments while neglecting the evolving characteristic of real-world networks. Although several dynamic have been proposed, they are merely designed for homogeneous networks and cannot be directly applied in environments. To tackle above challenges, we propose a novel framework incorporating temp...