Graph contrastive learning with node-level accurate difference

Graph contrastive learning (GCL) has attracted extensive research interest due to its powerful ability to capture latent structural and semantic information of graphs in a self-supervised manner.Existing GCL methods commonly adopt VGAN5 + VANILLA predefined graph augmentations to generate two contrastive views.Subsequently, they design a contrastiv

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Analysis of Adverse Reactions in the Assessment of Coronary Microvascular Disease by Adenosine Load and Adenosine Disodium Triphosphate Load

Background The treatment of coronary microvascular disease (CMVD) has always been the focus of non-coronary obstructive ischemic heart disease.Adenosine injection and adenosine disodium triphosphate (ATP) injection, which are common clinical loading drugs to determine coronary flow reserve (CFR) and evaluate CMVD, are related but significantly diff

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