GBRAIN: Combating Textual Label Noise by Granular-ball based Robust Training

Purity skeleton dynamic hypergraph neural network

Y Wang, X Yang, Q Sun, Y Qian, Q Guo - Neurocomputing, 2024 - Elsevier
Recently, in the field of Hypergraph Neural Networks (HGNNs), the effectiveness of dynamic
hypergraph construction has been validated, which aims to reduce structural noise within …
被引用次数：3 相关文章 所有 2 个版本
[PDF] arxiv.org

Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary

Y Li, X Ouyang, C Pan, J Zhang, S Zhao, S Xia… - arXiv preprint arXiv …, 2024 - arxiv.org
Open intent classification is critical for the development of dialogue systems, aiming to
accurately classify known intents into their corresponding classes while identifying unknown …
相关文章 所有 2 个版本