AdaNS: Adaptive negative sampling for unsupervised graph representation learning-Reference-Cited by-同舟云学术

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AdaNS: Adaptive negative sampling for unsupervised graph representation learning

Published:2023-04 Issue: Volume:136 Page:109266
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Wang Yu^ORCID,Hu Liang,Gao Wanfu,Cao Xiaofeng,Chang Yi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. node2vec: Scalable feature learning for networks;Grover,2016

2. Semi-supervised classification with graph convolutional networks;Kipf,2017

3. Graph contrastive learning with adaptive augmentation;Zhu,2021

4. Simplifying graph convolutional networks;Wu,2019

5. Inductive representation learning on large graphs;Hamilton,2017

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3. Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning;Bioinformatics Advances;2024-01-01

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