DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3185527
Abstract: Graph embedding, aiming to learn low-dimensional representations (aka. embeddings) of nodes in graphs, has received significant attention. In recent years, there has been a surge of efforts, among which graph convolutional networks (GCNs) have emerged… read more here.
Keywords: graph convolutional; dynamic graph; graph; efficient dynamic ... See more keywords
Efficient Dynamic Updates of Distributed Components Through Version Consistency
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2016.2592913
Abstract: Modern component-based distributed software systems are increasingly required to offer non-stop service and thus their updates must be carried out at runtime. Different authors have already proposed solutions for the safe management of dynamic updates.… read more here.
Keywords: version; updates distributed; version consistency; efficient dynamic ... See more keywords
Energy Efficient Dynamic Resource Optimization in NOMA System
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2018.2844359
Abstract: Non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) is a promising technique for next generation wireless communications. Using NOMA, more than one user can access the same frequency-time resource simultaneously and multi-user signals can… read more here.
Keywords: energy efficient; energy; resource; efficient dynamic ... See more keywords