This repository is the official implementation of KANO, which is model proposed in a paper: Knowledge graph-enhanced molecular contrastive learning with functional prompt. Firstly, we construct a ...
This repository includes the codes for the VLDB 2024 paper RoarGraph. This code builds upon the NSG repo and incorporates other open-source implementations. The main branch is the codebase of the ...
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Abstract: Knowledge graph embedding (KGE) aims at learning powerful representations to benefit various artificial intelligence applications. Meanwhile, contrastive learning has been widely leveraged ...
Abstract: Modeling user preference from his historical sequences is one of the core problems of sequential recommendation. Existing methods in this field are widely distributed from conventional ...
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