Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
CogDL-TensorFlow
CogDL-TensorFlow: The TensorFlow Implementation of CogDL. With Support from Professor Jie Tang.
CogDL
CogDL is a graph representation learning toolkit that allows researchers and developers to easily train and compare baseline or custom models for node classification, link prediction and other tasks on graphs. It provides implementations of many popular models, including:
- non-GNN Baselines like Deepwalk, LINE, NetMF;
- GNN Baselines like GCN, GAT, GraphSAGE.
Getting Started
Requirements and Installation
- TensorFlow version >= 2.0.0
- Python version >= 3.6
pip install -e .Usage
You can use python scripts/train.py --task example_task --dataset example_dataset --model example_method to run example_method on example_data and evaluate it via example_task.
Discussion Group
CogDL-TensorFlow is still under planning. Guys who are interesting in working on this project, welcome to add my wechat below and join our discussion group.
