GRAPH CONTRASTIVE LEARNING WITH NODE-LEVEL ACCURATE DIFFERENCE

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 predefined graph augmentations to generate two contrastive views.Subsequently, they design a contrastive pretext task b

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Thermal enhancement of ethylene glycol base material with hybrid nanofluid for oblique stagnation point slip flow

The hybrid nanofluids are more effective and stable to improve the thermal activities of many base liquids.With eminent thermal consequences, the hybrid nanofluids are preferred as compared to simple nanofluids which present the applications in industrial and engineering sectors.This mathematical model described in the thermal applications of hybri

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