Fair Benchmark for Unsupervised Node Representation Learning

Fair Benchmark for Unsupervised Node Representation Learning

Most machine-learning algorithms assume that instances are independent of each other. This does not hold for networked data. Node representation learning (NRL) aims to learn low-dimensional vectors to represent nodes in a network, such that all actionable patterns in topological structures and side...

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Bibliographic Details
Main Authors: Zhihao Guo, Shengyuan Chen, Xiao Huang, Zhiqiang Qian, Chunsing Yu, Yan Xu, Fang Ding
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Algorithms
Subjects:
network embedding
benchmark
hyperparameter tuning
attributed networks
graph neural networks
Online Access:https://www.mdpi.com/1999-4893/15/10/379

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https://www.mdpi.com/1999-4893/15/10/379

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