Datasets:
Tasks:
Graph Machine Learning
Modalities:
Text
Formats:
text
Size:
10K - 100K
ArXiv:
Tags:
art
License:
metadata
size_categories:
- 1K<n<10K
task_categories:
- graph-ml
tags:
- art
license: cc
Dataset Information
# Nodes | # Edges | # Features |
---|---|---|
7,600 | 33,544 | 931 |
Usage
from huggingface_hub import hf_hub_download
hf_hub_download(repo_id="SauravMaheshkar/pareto-actor", filename="processed/actor.bin", local_dir="./data/", repo_type="dataset")
dataset, _ = dgl.load_graphs("./data/processed/actor.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}
}
@inproceedings{Tang2009SocialIA,
title={Social influence analysis in large-scale networks},
author={Jie Tang and Jimeng Sun and Chi Wang and Zi Yang},
booktitle={Knowledge Discovery and Data Mining},
year={2009},
url={https://api.semanticscholar.org/CorpusID:4931148}
}