NRMG: News Recommendation With Multiview Graph Convolutional Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2023.3266520
Abstract: The emergence of a news recommendation system can effectively improve the news reading experience of users. The most important task of the system is how to learn news and user representations accurately. In the process… read more here.
Keywords: graph convolutional; news; news recommendation; multiview graph ... See more keywords
Dual-Contrastive Multiview Graph Attention Network for Industrial Fault Diagnosis Under Domain and Label Shift
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3542885
Abstract: Recently, domain generalization (DG) methods have been actively researched for the complex industrial fault diagnosis, which aims to learn generalized representations from historical working conditions to build a diagnosis model that can perform well on… read more here.
Keywords: graph attention; diagnosis; fault diagnosis; network ... See more keywords
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3087162
Abstract: Finding a consensus embedding from multiple views is the mainstream task in multiview graph-based clustering, in which the key problem is to handle the inconsistence among multiple views. In this article, we consider clustering effectiveness… read more here.
Keywords: consensus embedding; parameter free; multiple views; multiview graph ... See more keywords