4 datasets found
  1. h

    email-Enron

    • huggingface.co
    Updated Apr 4, 2024
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    Saurav Maheshkar (2024). email-Enron [Dataset]. https://huggingface.co/datasets/SauravMaheshkar/email-Enron
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2024
    Authors
    Saurav Maheshkar
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Source Paper: https://arxiv.org/abs/1802.06916

      Usage

    from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

    dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron", split="train")

      Citation

    @article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Enron.

  2. h

    email-Eu

    • huggingface.co
    Updated Apr 4, 2024
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    Saurav Maheshkar (2024). email-Eu [Dataset]. https://huggingface.co/datasets/SauravMaheshkar/email-Eu
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2024
    Authors
    Saurav Maheshkar
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Source Paper: https://arxiv.org/abs/1802.06916

      Usage

    from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

    dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Eu", split="train")

      Citation

    @article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Eu.

  3. h

    email-Enron-25

    • huggingface.co
    Updated Apr 4, 2024
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    Saurav Maheshkar (2024). email-Enron-25 [Dataset]. https://huggingface.co/datasets/SauravMaheshkar/email-Enron-25
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2024
    Authors
    Saurav Maheshkar
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Source Paper: https://arxiv.org/abs/1802.06916

      Usage

    from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

    dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron-25", split="train")

      Citation

    @article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Enron-25.

  4. h

    email-Eu-25

    • huggingface.co
    Updated Apr 4, 2024
    Share
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    Saurav Maheshkar (2024). email-Eu-25 [Dataset]. https://huggingface.co/datasets/SauravMaheshkar/email-Eu-25
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2024
    Authors
    Saurav Maheshkar
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Source Paper: https://arxiv.org/abs/1802.06916

      Usage

    from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

    dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Eu-25", split="train")

      Citation

    @article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Eu-25.

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Share
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Email
Click to copy link
Link copied
Close
Cite
Saurav Maheshkar (2024). email-Enron [Dataset]. https://huggingface.co/datasets/SauravMaheshkar/email-Enron

email-Enron

SauravMaheshkar/email-Enron

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 4, 2024
Authors
Saurav Maheshkar
License

https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

Description

Source Paper: https://arxiv.org/abs/1802.06916

  Usage

from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Enron", split="train")

  Citation

@article{Benson-2018-simplicial, author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon}, title = {Simplicial closure and higher-order link prediction}, year = {2018}, doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/email-Enron.

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