Learning Efficient Hash Codes for Fast Graph-Based Data Similarity Retrieval

Traditional operations, e.g. graph edit distance (GED), are no longer suitable for processing the massive quantities of graph-structured data now available, due to their irregular structures and high computational complexities. With the advent of graph neural networks (GNNs), the problems of graph r...

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Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 03., Seite 6321-6334
Auteur principal: Wang, Jinbao (Auteur)
Autres auteurs: Xu, Shuo, Zheng, Feng, Lu, Ke, Song, Jingkuan, Shao, Ling
Format: Article en ligne
Langue:English
Publié: 2021
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article