
# Dataset Card for Twitch ego nets

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [External Use](#external-use)
  - [PyGeometric](#pygeometric)
- [Dataset Structure](#dataset-structure)
  - [Data Properties](#data-properties)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description
- **[Homepage](https://snap.stanford.edu/data/twitch_ego_nets.html)**
- **Paper:**:  (see citation)


### Dataset Summary
The `Twitch ego nets` dataset contains ' ego-nets of Twitch users who participated in the partnership program in April 2018. Nodes are users and links are friendships.' (doc).

### Supported Tasks and Leaderboards
The related task is the binary classification to predict whether a user plays a single or multple games.

## External Use
### PyGeometric
To load in PyGeometric, do the following:

```python
from datasets import load_dataset

from torch_geometric.data import Data
from torch_geometric.loader import DataLoader

dataset_hf = load_dataset("graphs-datasets/<mydataset>")
# For the train set (replace by valid or test as needed)
dataset_pg_list = [Data(graph) for graph in dataset_hf["train"]]
dataset_pg = DataLoader(dataset_pg_list)
```

## Dataset Structure
### Dataset information
- 127,094 graphs

### Data Fields

Each row of a given file is a graph, with: 
- `edge_index` (list: 2 x #edges): pairs of nodes constituting edges
- `y` (list:  #labels): contains the number of labels available to predict
- `num_nodes` (int): number of nodes of the graph

### Data Splits

This data is not split, and should be used with cross validation. It comes from the PyGeometric version of the dataset.

## Additional Information

### Licensing Information
The dataset has been released under GPL-3.0 license.

### Citation Information
See also [github](https://github.com/benedekrozemberczki/karateclub).

```
 @inproceedings{karateclub,
    title = {{Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs}},
    author = {Benedek Rozemberczki and Oliver Kiss and Rik Sarkar},
    year = {2020},
    pages = {3125–3132},
    booktitle = {Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20)},
    organization = {ACM},
}
```
task_categories:graph-ml license:gpl-3.0 region:us
{"license": "gpl-3.0", "task_categories": ["graph-ml"]}
TAGS
#task_categories-graph-ml #license-gpl-3.0 #region-us 


# Dataset Card for Twitch ego nets

## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
- External Use
  - PyGeometric
- Dataset Structure
  - Data Properties
  - Data Fields
  - Data Splits
- Additional Information
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description
- Homepage
- Paper::  (see citation)


### Dataset Summary
The 'Twitch ego nets' dataset contains ' ego-nets of Twitch users who participated in the partnership program in April 2018. Nodes are users and links are friendships.' (doc).

### Supported Tasks and Leaderboards
The related task is the binary classification to predict whether a user plays a single or multple games.

## External Use
### PyGeometric
To load in PyGeometric, do the following:



## Dataset Structure
### Dataset information
- 127,094 graphs

### Data Fields

Each row of a given file is a graph, with: 
- 'edge_index' (list: 2 x #edges): pairs of nodes constituting edges
- 'y' (list:  #labels): contains the number of labels available to predict
- 'num_nodes' (int): number of nodes of the graph

### Data Splits

This data is not split, and should be used with cross validation. It comes from the PyGeometric version of the dataset.

## Additional Information

### Licensing Information
The dataset has been released under GPL-3.0 license.


See also github.


# Dataset Card for Twitch ego nets ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
- External Use
  - PyGeometric
- Dataset Structure
  - Data Properties
  - Data Fields
  - Data Splits
- Additional Information
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description
- Homepage
- Paper::  (see citation) ### Dataset Summary
The 'Twitch ego nets' dataset contains ' ego-nets of Twitch users who participated in the partnership program in April 2018. Nodes are users and links are friendships.' (doc). ### Supported Tasks and Leaderboards
The related task is the binary classification to predict whether a user plays a single or multple games. ## External Use ### PyGeometric
To load in PyGeometric, do the following: ## Dataset Structure ### Dataset information
- 127,094 graphs ### Data Fields

Each row of a given file is a graph, with: 
- 'edge_index' (list: 2 x #edges): pairs of nodes constituting edges
- 'y' (list:  #labels): contains the number of labels available to predict
- 'num_nodes' (int): number of nodes of the graph ### Data Splits

This data is not split, and should be used with cross validation. It comes from the PyGeometric version of the dataset. ## Additional Information ### Licensing Information
The dataset has been released under GPL-3.0 license.


See also github.
TAGS
#task_categories-graph-ml #license-gpl-3.0 #region-us 
 # Dataset Card for Twitch ego nets ## Table of Contents
- Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
- External Use
  - PyGeometric
- Dataset Structure
  - Data Properties
  - Data Fields
  - Data Splits
- Additional Information
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description
- Homepage
- Paper::  (see citation) ### Dataset Summary
The 'Twitch ego nets' dataset contains ' ego-nets of Twitch users who participated in the partnership program in April 2018. Nodes are users and links are friendships.' (doc). ### Supported Tasks and Leaderboards
The related task is the binary classification to predict whether a user plays a single or multple games. ## External Use ### PyGeometric
To load in PyGeometric, do the following: ## Dataset Structure ### Dataset information
- 127,094 graphs ### Data Fields

Each row of a given file is a graph, with: 
- 'edge_index' (list: 2 x #edges): pairs of nodes constituting edges
- 'y' (list:  #labels): contains the number of labels available to predict
- 'num_nodes' (int): number of nodes of the graph ### Data Splits

This data is not split, and should be used with cross validation. It comes from the PyGeometric version of the dataset. ## Additional Information ### Licensing Information
The dataset has been released under GPL-3.0 license.


See also github.