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In this work, we propose BertGCN, a model that combines large scale pretraining and transductive learning for text classification.
Simplifying graph convolutional networks
Felix Wu, Tianyi Zhang, Amauri Holanda de Souza Jr, Christopher Fifty, Tao Yu, and Kilian Q Weinberger. 2019 · 1902
Earlier work this paper cites.
Roberta: A robustly optimized bert pretraining approach
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Earlier work this paper cites.
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Text level graph neural network for text classification
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Earlier work this paper cites.
Graph convolutional encoders for syntax-aware neural machine translation
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
The graph neural network model
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Earlier work this paper cites.
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Earlier work this paper cites.
Deep neural networks for learning graph representations
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Earlier work this paper cites.
Inductive representation learning on large graphs
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Encoding sentences with graph convolutional networks for semantic role labeling
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Geometric matrix completion with recurrent multi-graph neural networks
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Gaan: Gated attention networks for learning on large and spatiotemporal graphs
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Enhancing generalization in natural language inference by syntax
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Tensor graph convolutional networks for text classification
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Uncertainty-aware self-training for text classification with few labels
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A comprehensive survey on graph neural networks
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Zero-shot text classification via reinforced self-training
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