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--- nlp:hypergraphs [2021/06/25 01:00] – [Neural Papers] jmflanig
+++ nlp:hypergraphs [2023/06/15 07:36] (current) – external edit 127.0.0.1
@@ Line 21: / Line 21: @@
   * [[https://www.aclweb.org/anthology/2020.emnlp-main.399.pdf|Ding et al 2020 - Be More with Less: Hypergraph Attention Networks for Inductive Text Classification]] EMNLP 2020
   * [[https://arxiv.org/pdf/2010.14439.pdf|Lin et al 2020 - Differentiable Open-Ended Commonsense Reasoning]] NAACL 2021
+  * From [[https://aclanthology.org/2020.findings-emnlp.133.pdf|this paper]]: "Hypergraph convolutional networks (Feng et al., 2019; Yadati et al., 2019) utilize hypergraph structure rather than a general graph to represent the high-order correlation among data entirely, and hypergraph attention (Bai et al., 2019) further enhances the ability of representation learning by using an attention module."