Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification

no code implementations • IJCNLP 2019 • Hu Linmei, Tianchi Yang, Chuan Shi, Houye Ji, Xiao-Li Li

Then, we propose Heterogeneous Graph ATtention networks (HGAT) to embed the HIN for short text classification based on a dual-level attention mechanism, including node-level and type-level attentions.

General Classification Graph Attention +3