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cs.LG2026
NodeJEPA: Structure-Conditioned Latent Prediction for Node-Level Graph Self-Supervised Learning
Tinghe Zhang, Jian Xu, Jiaheng Chen +3
Self-supervised learning on graphs is largely shaped by contrastive methods that depend on carefully designed augmentations, and by generative methods that reconstruct node attribu…
cs.LG2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Yanxi Chen, Chunxiao Li, Xinyang Dai +6
Multi-label learning (MLL) requires comprehensive multi-semantic annotations that is hard to fully obtain, thus often resulting in missing labels scenarios. In this paper, we inves…