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binary-relevance

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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.

  • UpdatedNov 2, 2023
  • Jupyter Notebook

Multi-label classification approaches on the Yeast dataset

  • UpdatedApr 18, 2020
  • Jupyter Notebook

A multi label classification for identifying the most probabilistic companies a problem might be asked upon in its interview. It includes several approaches like label transformation, algorithm adaption, ensemble learning and LSTM. Base classifiers like Gaussian NB, Multinomial NB, Logistic Regression, Descision Tree, Random Forest and SVC is us…

  • UpdatedMay 9, 2021
  • Jupyter Notebook

Multi-label classification project

  • UpdatedJan 28, 2023
  • Jupyter Notebook
multilabel_classification

Multi-label text classification in Reddit comments using statistical and learned features.

  • UpdatedFeb 7, 2025
  • Jupyter Notebook

Classificação multilabel em textos (Stack Overflow Brasil)

  • UpdatedMar 9, 2023
  • Jupyter Notebook

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