|
--- |
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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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|
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## Dataset Information |
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|
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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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|
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## Usage |
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|
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```python |
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from huggingface_hub import hf_hub_download |
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|
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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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|
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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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Pre-processed as per the official codebase of https://arxiv.org/abs/2210.02016 |
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|
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## Citations |
|
|
|
``` |
|
@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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@article{DBLP:journals/corr/abs-1909-13021, |
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author = {Benedek Rozemberczki and |
|
Carl Allen and |
|
Rik Sarkar}, |
|
title = {Multi-scale Attributed Node Embedding}, |
|
journal = {CoRR}, |
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volume = {abs/1909.13021}, |
|
year = {2019}, |
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url = {http://arxiv.org/abs/1909.13021}, |
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eprinttype = {arXiv}, |
|
eprint = {1909.13021}, |
|
timestamp = {Wed, 02 Oct 2019 13:04:08 +0200}, |
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biburl = {https://dblp.org/rec/journals/corr/abs-1909-13021.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
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} |
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``` |