README.md

metadata

license: cc-by-nc-4.0
language:
  - en
tags:
  - code
pretty_name: README

TGB 2.0

Overview of the Temporal Graph Benchmark (TGB) pipeline:

• TGB includes large-scale and realistic datasets from five different domains with both dynamic link prediction and node property prediction tasks.
• TGB automatically downloads datasets and processes them into numpy, PyTorch and PyG compatible TemporalData formats.
• Novel TG models can be easily evaluated on TGB datasets via reproducible and realistic evaluation protocols.
• TGB provides public and online leaderboards to track recent developments in temporal graph learning domain.

pip install py-tgb

Links and Datasets

The project website can be found here.

The API documentations can be found here.

all dataset download links can be found at info.py

TGB dataloader will also automatically download the dataset as well as the negative samples for the link property prediction datasets.

if website is unaccessible, please use this link instead.