GitHub topics: label-correlations
cissagatto/GeneratePartitionsCommunities
Generates hybrid partitions using community detection methods.
Language: R - Size: 25.6 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
cissagatto/HPML
This repository hold all experiments conducted during my PhD (2019-2023). HPML means "Hybrid Partitions for Multi-Label Classification". SET-UP-1
Size: 1.78 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
cissagatto/HPML-Chains
This code is a part of my doctoral research at PPG-CC/DC/UFSCar in colaboration with Ku Leuven in Belgium.
Size: 2.23 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
cissagatto/plotHPML
his repository contains code for visualizing hybrid partitions, a method that plays a significant role in my PhD thesis. The code is designed to plot data partitions, specifically to highlight the differences between label clusters and instance clusters.
Language: R - Size: 74.2 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
ToineSayan/node-classification-and-label-dependencies
PyTorch implementation of 'How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents'
Language: Python - Size: 19.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
chiennv2000/LR-GCN
Label-Representative Graph Convolutional Network for Multi-Label Text Classification
Language: Python - Size: 19.7 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 10 - Forks: 2
MiLab-HITSZ/2023XueSGCN
The code of SGCN for FMLC
Language: Python - Size: 98.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Bracis2023
Repository of the paper "Community Detection Methods for Multi-Label Classification" publish in BRACIS 2023
Size: 2.94 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cissagatto/Generate-Partitions-Kohonen
This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.
Language: R - Size: 17.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Extreme-classification/ECLARE
ECLARE: Extreme Classification with Label Graph Correlations
Language: Python - Size: 70.3 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 39 - Forks: 8
cissagatto/HPML-J
This code is a part of my doctoral research at PPG-CC/DC/UFSCar. HPML-J is the name of the first experiment carried out: Hybrid Partitions for Multi-Label Classification with index Jaccard.
Language: R - Size: 25.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0