Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation
نویسندگان
چکیده
منابع مشابه
Graph-based Classification on Heterogeneous Information Networks Graph-based Classification on Heterogeneous Information Networks
A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that heterogeneous information networks are prevalent in the real world. Sometimes, label information is available for part of the objects. Learning from such labeled and unlabeled data can lead to good knowledge extraction of the hidden network structure. However, ...
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A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information networks are prevalent in the real world. Sometimes, label information is available for part of the objects. Learning from such labeled and unlabeled data via transductive classification can lead to good knowledge extrac...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2021
ISSN: ['1558-2191', '1041-4347', '2326-3865']
DOI: https://doi.org/10.1109/tkde.2021.3106804