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pro vyhledávání: '"Ji, Junzhong"'
Advanced graph neural networks have shown great potentials in graph classification tasks recently. Different from node classification where node embeddings aggregated from local neighbors can be directly used to learn node labels, graph classificatio
Externí odkaz:
http://arxiv.org/abs/2203.07691
Publikováno v:
In Knowledge-Based Systems 27 September 2024 300
Graph convolutional networks have made great progress in graph-based semi-supervised learning. Existing methods mainly assume that nodes connected by graph edges are prone to have similar attributes and labels, so that the features smoothed by local
Externí odkaz:
http://arxiv.org/abs/2112.01174
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part A
Publikováno v:
In Knowledge-Based Systems 5 March 2024 287
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation
Publikováno v:
In Computers in Biology and Medicine March 2024 170
Autor:
Ji, Junzhong, Wang, Xingyu
Publikováno v:
In Applied Soft Computing December 2023 149 Part B
Publikováno v:
In Computers in Biology and Medicine December 2023 167
Autor:
Ji, Junzhong, Li, Junwei
Publikováno v:
In Pattern Recognition November 2023 143
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