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docs: update dataset card
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README.md
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---
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license: cc
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---
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---
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size_categories:
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- 1K<n<10K
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task_categories:
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- graph-ml
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tags:
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- art
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license: cc
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---
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## Dataset Information
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| # Nodes | # Edges | # Features |
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|:-------:|:-------:|:----------:|
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| 5,201 | 217,073 | 2,089 |
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## Usage
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```python
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from huggingface_hub import hf_hub_download
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hf_hub_download(repo_id="SauravMaheshkar/Squirrel", filename="processed/squirrel.bin", local_dir="./data/", repo_type="dataset")
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dataset, _ = dgl.load_graphs("./data/processed/squirrel.bin")
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```
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Thank you [@severo](https://huggingface.co/severo) for helping me [figure out the usage](https://discuss.huggingface.co/t/can-i-use-a-pickle-file-with-the-data-files-argument-with-datasets/72189/2?u=sauravmaheshkar).
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## Citations
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```
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@article{ju2023multi,
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title={Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization},
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author={Ju, Mingxuan and Zhao, Tong and Wen, Qianlong and Yu, Wenhao and Shah, Neil and Ye, Yanfang and Zhang, Chuxu},
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booktitle={International Conference on Learning Representations},
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year={2023}
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}
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```
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```
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@article{DBLP:journals/corr/abs-1909-13021,
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author = {Benedek Rozemberczki and
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Carl Allen and
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Rik Sarkar},
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title = {Multi-scale Attributed Node Embedding},
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journal = {CoRR},
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volume = {abs/1909.13021},
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year = {2019},
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url = {http://arxiv.org/abs/1909.13021},
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eprinttype = {arXiv},
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eprint = {1909.13021},
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timestamp = {Wed, 02 Oct 2019 13:04:08 +0200},
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biburl = {https://dblp.org/rec/journals/corr/abs-1909-13021.bib},
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bibsource = {dblp computer science bibliography, https://dblp.org}
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}
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```
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