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

No description provided.

Multilabel classification task rock news articles based on Python

Machine Learning Models to decode compound emotions in a Urdu-based text

This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain

Naive Independent Models, Classifier Chains, Natively Multilabel Models, and Multilabel to Multiclass Approach for predicting shipment modes.

This code is part of my Ph.D. research. The R script runs in parallel the CC made in python.

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.