Text Classification On R52

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
1-6 BertGCN	96.6	BertGCN: Transductive Text Classification by Combining GCN and BERT
GraphStar	95.00	Graph Star Net for Generalized Multi-Task Learning
Our Model*	94.6	Text Level Graph Neural Network for Text Classification
SSGC	94.5	Simple Spectral Graph Convolution
SGCN	94.0	Simplifying Graph Convolutional Networks
SGC	94.0	Simplifying Graph Convolutional Networks
Text GCN	93.56	Graph Convolutional Networks for Text Classification
TM-Glove	89.14	Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

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