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cs.AI2026
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
Jun Yin, Peng Huo, Bangguo Zhu +4
In recent advances, to enable a fully data-driven learning paradigm on relational databases (RDB), relational deep learning (RDL) is proposed to structure the RDB as a heterogeneou…
cs.AI2022
Exploiting Dynamic and Fine-grained Semantic Scope for Extreme Multi-label Text Classification
Yuan Wang, Huiling Song, Peng Huo +4
Extreme multi-label text classification (XMTC) refers to the problem of tagging a given text with the most relevant subset of labels from a large label set. A majority of labels on…