README.md

metadata

license: unknown
task_categories:
  - graph-ml
tags:
  - chemistry
configs:
  - config_name: transductive
    data_files:
      - split: train
        path: processed/transductive/train_df.csv
      - split: valid
        path: processed/transductive/val_df.csv
      - split: test
        path: processed/transductive/test_df.csv
  - config_name: inductive
    data_files:
      - split: train
        path: processed/inductive/train_df.csv
      - split: valid
        path: processed/inductive/val_df.csv
      - split: test
        path: processed/inductive/test_df.csv
  - config_name: raw
    data_files: raw/*.txt

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

Usage

from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset

dataset = CornellTemporalHyperGraphDataset(root = "./", name="congress-bills", 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 = {10.1073/pnas.1800683115},
 publisher = {National Academy of Sciences},
 issn = {0027-8424},
 journal = {Proceedings of the National Academy of Sciences}
}