DropNaE: Alleviating irregularity for large-scale graph representation learning

Xin Liu; Xunbin Xiong; Mingyu Yan; Runzhen Xue; Shirui Pan; Songwen Pei; Lei Deng; Xiaochun Ye; Dongrui Fan

doi:10.1016/j.neunet.2024.106930

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DropNaE: Alleviating irregularity for large-scale graph representation learning

Xin Liu Xunbin Xiong Mingyu Yan Runzhen Xue Shirui Pan Songwen Pei Lei Deng Xiaochun Ye Dongrui Fan

Year: 2024 Journal: Neural Networks Vol: 183 Pages: 106930-106930 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.106930

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Keywords:

Computer science Graph Artificial intelligence Scale (ratio) Representation (politics) Pattern recognition (psychology) Theoretical computer science Machine learning Cartography

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Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Data Quality and Management

Social Sciences → Decision Sciences → Management Science and Operations Research

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

DropNaE: Alleviating irregularity for large-scale graph representation learning

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