InducT-GCN: Inductive Graph Convolutional Networks for Text Classification

1 June 2022

Papers citing "InducT-GCN: Inductive Graph Convolutional Networks for Text Classification"

6 / 6 papers shown

Title
DocNet: Semantic Structure in Inductive Bias Detection Models Jessica Zhu Iain Cruickshank Michel Cukier 42 0 0 16 Jun 2024
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews Sergio Burdisso Esaú Villatoro-Tello S. Madikeri P. Motlícek 36 9 0 03 Jul 2023
Transformers are Short Text Classifiers: A Study of Inductive Short Text Classifiers on Benchmarks and Real-world Datasets Fabian Karl A. Scherp VLM 24 20 0 30 Nov 2022
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis Siwen Luo Yi Ding Siqu Long Josiah Poon S. Han GNN 45 16 0 22 Aug 2022
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 303 13,373 0 25 Aug 2014
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 308 31,280 0 16 Jan 2013