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On the Power of Gradual Network Alignment Using Dual-Perception Similarities. (arXiv:2201.10945v1 [cs.SI])
Web: http://arxiv.org/abs/2201.10945
Jan. 27, 2022, 2:10 a.m. | Jin-Duk Park, Cong Tran, Won-Yong Shin, Xin Cao
cs.LG updates on arXiv.org arxiv.org
Network alignment (NA) is the task of finding the correspondence of nodes
between two networks based on the network structure and node attributes. Our
study is motivated by the fact that, since most of existing NA methods have
attempted to discover all node pairs at once, they do not harness information
enriched through interim discovery of node correspondences to more accurately
find the next correspondences during the node matching. To tackle this
challenge, we propose Grad-Align, a new NA method …
More from arxiv.org / cs.LG updates on arXiv.org
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