Graph representation learning via enhanced GNNs and transformers

Abstract In recent years, graph transformers (GTs) have captured increasing attention within the graph domain. To address the prevalent deficiencies in local feature learning and edge information utilization inherent to GTs, we propose EHDGT, a novel graph representation learning method based on enh...

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Bibliographic Details
Main Authors: Hongrui Mu, Chengchen Zhou, Qiancheng Yu, Qunyue Mu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-08688-7
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