SauravMaheshkar/email-Eu-25

--- 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} } ```许可证：未知 任务类别： - 图机器学习（Graph-ML） 配置项： - 配置名称：直推式（transductive） 数据文件： - 数据集划分：训练集，路径：processed/transductive/train_df.csv - 数据集划分：验证集，路径：processed/transductive/val_df.csv - 数据集划分：测试集，路径：processed/transductive/test_df.csv - 配置名称：归纳式（inductive） 数据文件： - 数据集划分：训练集，路径：processed/inductive/train_df.csv - 数据集划分：验证集，路径：processed/inductive/val_df.csv - 数据集划分：测试集，路径：processed/inductive/test_df.csv - 配置名称：原始数据集（raw） 数据文件：raw/*.txt 来源论文：https://arxiv.org/abs/1802.06916 ### 使用方法 python from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset dataset = CornellTemporalHyperGraphDataset(root = "./", name="email-Eu-25", split="train") ### 引用格式 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 = {美国国家科学院}, issn = {0027-8424}, journal = {美国国家科学院院刊} }

原始信息汇总

数据集概述

许可

• 许可证：未知

任务类别

• 图机器学习（graph-ml）

配置信息

• 配置名称：transductive

  • 训练数据文件：processed/transductive/train_df.csv
  • 验证数据文件：processed/transductive/val_df.csv
  • 测试数据文件：processed/transductive/test_df.csv

• 配置名称：inductive

  • 训练数据文件：processed/inductive/train_df.csv
  • 验证数据文件：processed/inductive/val_df.csv
  • 测试数据文件：processed/inductive/test_df.csv

• 配置名称：raw

  • 原始数据文件：raw/*.txt