Datasets:

Modalities:
Text
Formats:
text
ArXiv:
Tags:
art
Libraries:
Datasets
License:
text
stringlengths
4
4.66k
node_id node_id
2034 1939
2034 2263
2034 1976
2034 2234
2034 804
2034 1474
2034 2110
2034 652
2034 1350
2034 1860
2034 2243
2034 1889
2034 1356
2034 536
1747 1554
1747 1843
1747 1612
1747 1776
1747 1911
817 115
319 760
319 1398
319 2165
319 1530
319 1023
319 897
319 2042
319 1409
319 1918
319 1921
319 1285
319 2175
319 2053
319 2192
319 1303
319 2199
319 296
319 2204
319 1569
319 1321
319 2221
319 443
319 2223
319 699
319 2225
319 572
319 956
319 829
319 1344
319 841
319 970
319 1606
319 1988
319 1224
319 1232
319 1492
319 1622
319 1750
319 1495
319 2134
319 373
319 1247
319 993
319 1887
319 2013
319 1762
319 366
319 1127
319 1895
319 370
319 1898
319 1013
28 95
28 1204
28 1877
28 1435
28 2109
28 2113
28 115
28 1512
28 2187
777 1907
777 1939
777 1081
777 1976
777 2009
777 1854
777 2043
777 360
777 2217
777 1474
777 1665
777 2208
777 1986
777 1454
777 1841
777 2249
777 1233
777 2093

Dataset Information

# Nodes # Edges # Features
2,277 36,101 2,325

Usage

from huggingface_hub import hf_hub_download

hf_hub_download(repo_id="SauravMaheshkar/pareto-chameleon", filename="processed/chameleon.bin", local_dir="./data/", repo_type="dataset")

dataset, _ = dgl.load_graphs("./data/processed/chameleon.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}
}
Downloads last month
75

Collection including SauravMaheshkar/pareto-chameleon