A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2022.3159661
Abstract: Graph representation learning has re-emerged as a fascinating research topic due to the successful application of graph convolutional networks (GCNs) for graphs and inspires various downstream tasks, such as node classification and link prediction. Nevertheless,… read more here.
Keywords: graph convolutional; dynamic graphs; novel representation; representation learning ... See more keywords
A Logarithmic Function-Based Novel Representation Algorithm for Image Classification
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380205
Abstract: Received: 3 Decemebr 2020 Accepted: 17 February 2021 Salient feature extraction is an important task in image classification and recognition. Although classification techniques focus on the bright part of an image, many pixels of the… read more here.
Keywords: novel representation; classification; image; algorithm ... See more keywords