Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3514868
Abstract: Deep hashing models are employed to efficiently store and swiftly search large-scale datasets where data are high dimensional. Their optimization of the loss function and the non-differentiable sign function can lead to inadequate backpropagation learning,… read more here.
Keywords: efficient similarity; deep hashing; similarity search; gcn based ... See more keywords
Efficient Similarity Search for Sets over Graphs
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2931901
Abstract: Measuring similarities among different nodes is important in graph analysis tasks, such as link prediction, and recommendation. Among different similarity measures, SimRank is one of the most popular and promising ones, and has received a… read more here.
Keywords: efficient similarity; similarity; search sets; similarity search ... See more keywords