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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.
Multi-label classification approaches on the Yeast dataset
Public repository associated with: "Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain"
Multi-label classification project
Multilabel classification task rock news articles based on Python
Naive Independent Models, Classifier Chains, Natively Multilabel Models, and Multilabel to Multiclass Approach for predicting shipment modes.
This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain
Classificação multilabel em textos (Stack Overflow Brasil)
This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.