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20182022
most citedRepresentation Learning with Weighted Inner Product for Universal Approximation of General Similarities

2 citations · 2 across the 3 of their papers we have counts for

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stat.ML2018

Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability

Akifumi Okuno, Geewook Kim, Hidetoshi Shimodaira

We propose shifted inner-product similarity (SIPS), which is a novel yet very simple extension of the ordinary inner-product similarity (IPS) for neural-network based graph embeddi…