Graph Barlow Twins: A self-supervised representation learning framework for graphs-Reference-Cited by-同舟云学术

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Graph Barlow Twins: A self-supervised representation learning framework for graphs

Published:2022-11 Issue: Volume:256 Page:109631
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Bielak Piotr^ORCID,Kajdanowicz Tomasz^ORCID,Chawla Nitesh V.^ORCID

Funder

Narodowe Centrum Nauki

Narodowym Centrum Nauki

Department of Artificial Intelligence, Korea University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference31 articles.

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

2. Graph attention networks;Veličković,2018

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

4. DeepWalk: Online learning of social representations;Perozzi,2014

5. Node2vec: Scalable feature learning for networks;Grover,2016

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3. S4: Self-supervised learning with sparse-dense sampling;Knowledge-Based Systems;2024-09

4. Graph Contrastive Learning with Node-Level Accurate Difference;Fundamental Research;2024-09

5. GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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