In this paper, we proposed a fast and reliable method using deep neural network for floor-level distinction and position estimation based on ubiquitous radio ...

Jul 4, 2020 · Network representation learning aims to embed the vertexes in a network into low-dimensional dense representations.

May 10, 2022 · We select several diverse network representation learning models to identify communities from a real-world co-location network.

In this paper, we proposed the use of Graph Neural Networks in the field of resource usage representations. This novel approach was further expanded upon by ...

Mobile user profiling is to extract a user's interest and behavioral patterns from mobile behavioral data. While some efforts have been made for mobile user ...

Jun 8, 2020 · Such a service requires a user to send data, e.g. image, voice and video, to the provider, which presents a serious challenge to user privacy.

Nov 9, 2021 · We propose a new message passing neural network model with theoretical guarantee to handle the spatial-graph topology coupled network.

May 30, 2024 · This work provides a comprehensive review of state-of-the-art studies and GAI applications in network management, wireless security, semantic communication, ...