| --- |
| license: unknown |
| task_categories: |
| - graph-ml |
| 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="email-Eu-25", split="train") |
| ``` |
|
|
| ### Citation |
|
|
| ```misc |
| @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} |
| } |
| ``` |
