CoEBA, a contrastive link prediction model using a degree-balancing edge augmentation and neighbor-concentrated contrastive losses, is reported to outperform baselines on 8 datasets, supported by a theoretical bound adapted from node classification.
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Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
CoEBA, a contrastive link prediction model using a degree-balancing edge augmentation and neighbor-concentrated contrastive losses, is reported to outperform baselines on 8 datasets, supported by a theoretical bound adapted from node classification.