Skip to content

YuanchenBei/Awesome-Multi-Label-Learning-On-Graphs

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

Awesome-Multi-Label-Learning-On-Graphs

This repository contains a curated list of papers on (or related to) multi-label learning on graphs (MLLG), such as multi-label node/edge/graph classification, which are categorized based on their published years.

Continuously updating!

Papers

Paper Title Venue PDF Link Code Link
Multi-label Node Classification On Graph-Structured Data TMLR 2023 [PDF] [Code]
Semantic guide for semi-supervised few-shot multi-label node classification Information Sciences 2022 [PDF] [Code]
Semi-supervised Multi-label Learning for Graph-structured Data CIKM 2021 [PDF] N/A
Multi-label graph node classification with label attentive neighborhood convolution Expert Systems With Applications 2021 [PDF] N/A
MLNE: Multi-Label Network Embedding TNNLS 2020 [PDF] N/A
Multi-Label Graph Convolutional Network Representation Learning TBD 2020 [PDF] N/A
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification ICDM 2019 [PDF] [Code]
Semi-supervised Graph Embedding for Multi-label Graph Node Classification WISE 2019 [PDF] N/A
Multi-label relational classification via node and label correlation Neurocomputing 2018 [PDF] N/A

Datasets

Dataset Nodes Edges Classes Features Unlabeled Nodes Links
DBLP 28702 68335 4 300 0 https://www.dropbox.com/sh/tg8nclx5gpctbmo/AADQc0YFpuVeqXhaNuUK4MMba?dl=0
Blogcatalog 10312 333983 39 100 0 https://figshare.com/articles/dataset/BlogCatalog_dataset/11923611
Yelp 716847 6977410 100 300 728 https://github.com/GraphSAINT/GraphSAINT
PPI 14755 225270 121 50 555 https://github.com/GraphSAINT/GraphSAINT
PCG 3233 37351 15 32 0 https://github.com/Tianqi-py/MLGNC
HUMLOC 3106 18496 14 32 0 https://github.com/Tianqi-py/MLGNC
Delve 1229280 4322275 20 300 1097289 https://www.dropbox.com/sh/tg8nclx5gpctbmo/AADQc0YFpuVeqXhaNuUK4MMba?dl=0

Releases

No releases published

Packages

No packages published