There are 3 repositories under label-propagation topic.
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Minimal and clean examples of machine learning algorithms implemented in Julia
Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
✨🧬 Refined binning of metagenomic contigs using assembly graphs
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Semi-supervised learning via Compact Latent Space Clustering
Dynamic Graph-Based Label Propagation for Density Peaks Clustering
Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI
Code and models accompanying "Learning to Associate Words and Images Using a Large-scale Graph"
Computer Science & Engineering Master's Degree Graduation Thesis. Clustering Graphs - Applying a Label Propagation Algorithm to Detect Communities (in academia) in Graph Databases (ArangoDB). Communities were detected, a GraphQL API with NodeJS and Express and a frontend interface with React, TypeScript and CytoscapeJS were built.
Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification
Label propagation algorithm for community detection based on node importance and label influence
A DGL implementation of "Combining Label Propagation and Simple Models Out-performs Graph Neural Networks" (ICLR 2021).
Detecting community structure using label propagation and weighted coherent neighborhood propinquity
The implementation of our MICCAI20 paper "SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos"
Code for ACCV 2018 Oral Paper "Zero-Shot Facial Expression Recognition with Multi-Label Label Propagation".
Data science project conducting complete analysis of online shopping behavior
Cross-Domain Kernel Induction for Transfer Learning
This repository contains the code implementation used in the paper: "Point Label Aware Superpixels for Multi-species Segmentation of Underwater Imagery"
Using a hybrid model of supervised learning and label propagation for prediction of stock prices direction of movement
Text Categorization using Label Propagation
A Pytorch implementation of GCN-LPA
A framework for bootstrapping natural language understanding in novel, data-poor domains.
A DGL implementation of "Learning from Labeled and Unlabeled Data with Label Propagation".
A detailed analysis of an email network between 143 employees of Enron company
Code for 'Improving Unsupervised Label Propagation for Pose Tracking and Video Object Segmentation' (GCPR 2022)
EECE 5645 Project: Performing community detection on Reddit Hyperlink network dataset and leverage the power of Spark and GraphFrames
That was my project for my bachelor's degree. Variation and analysis of the label propagation algorithm. There are 480 diffrent ways to run the algorithm. With the framework you have the ability to observe the algorithm how it label and detected the communitys (only small networks). You also have the ability to run the algorithm via console.