Welcome to Temporal Graph Benchmark
You can install TGB via pip
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.
Our implementation works with python >= 3.9 and can be installed as follows
set up virtual environment (conda should work as well)
install external packages
install Pytorch and PyG dependencies (needed to run the examples)
- install local dependencies under root directory
Instruction for tracking new documentation and running mkdocs locally
first run the mkdocs server locally in your terminal
go to the local hosted web address similar to
Example: to track documentation of a new hi.py file in tgb/edgeregression/hi.py
create docs/api/tgb.hi.md and add the following
Creating new branch
dependencies for mkdocs (documentation)
full dependency list
Our implementation works with python >= 3.9 and has the following dependencies