HIN embedding learning by aspect for recommendation systems

Network representation learning is a graph-based machine learning task, and its applications have gradually spread throughout our daily lives. Its goal is to represent nodes of the network as vectors which are low-dimensional dense. And then use low- dimensional vectors to solve subsequent machine l...

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Bibliographic Details
Main Author: Chen, Jieyi
Other Authors: Lihui CHEN
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140874
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Institution: Nanyang Technological University
Language: English

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