Dataset Information
	
	
		
| # Nodes | # Edges | # Features | 
		
| 5,201 | 217,073 | 2,089 | 
	
 
	
		
	
	
		Usage
	
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="SauravMaheshkar/pareto-squirrel", filename="processed/squirrel.bin", local_dir="./data/", repo_type="dataset")
dataset, _ = dgl.load_graphs("./data/processed/squirrel.bin")
Thank you @severo for helping me figure out the usage.
Pre-processed as per the official codebase of https://arxiv.org/abs/2210.02016
	
		
	
	
		Citations
	
@article{ju2023multi,
  title={Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization},
  author={Ju, Mingxuan and Zhao, Tong and Wen, Qianlong and Yu, Wenhao and Shah, Neil and Ye, Yanfang and Zhang, Chuxu},
  booktitle={International Conference on Learning Representations},
  year={2023}
}
@article{DBLP:journals/corr/abs-1909-13021,
  author       = {Benedek Rozemberczki and
                  Carl Allen and
                  Rik Sarkar},
  title        = {Multi-scale Attributed Node Embedding},
  journal      = {CoRR},
  volume       = {abs/1909.13021},
  year         = {2019},
  url          = {http://arxiv.org/abs/1909.13021},
  eprinttype    = {arXiv},
  eprint       = {1909.13021},
  timestamp    = {Wed, 02 Oct 2019 13:04:08 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1909-13021.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}