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!
| 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 |
| 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 |