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Search results for graph neural networks text classification
graph-neural-networks
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text-classification
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12 search results found
Graph Transformer
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408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
Nodeformer
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244
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Difformer
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204
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Hiagm
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42
Hierarchy-Aware Global Model for Hierarchical Text Classification
Texting
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37
Tensorflow implementation of ACL2020 paper "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks."
Qgnn
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28
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
Mpad
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28
Message Passing Attention Networks for Document Understanding
Textssl
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20
[AAAI 2022] Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
Shine Emnlp21
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13
Codes for SHINE published in EMNLP 2021.
Text Level Gnn
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8
Text Level Graph Neural Network for Text Classification
Dhgnet
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7
Code for paper "Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph", EMNLP 2021 - findings.
Magnet Multi Label Text Classi Cation Using Attention Based Graph Neural Network
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6
This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.
Swahili Text Gcn
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5
Graph Convolutional Network for Swahili News Classification: https://arxiv.org/abs/2103.09325
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1-12 of 12 search results
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