Self-Supervised Graph Representation Learning
Collection
Getting started with Self Supervised Graph Representation Learning. The fundamental papers, pre-processed datasets and models (soon !)
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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
@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}
}