CogDL utilizes well-optimized operators to speed up training and save GPU memory of GNN models.
CogDL provides easy-to-use APIs for running experiments with the given models and datasets using hyper-parameter search.
CogDL provides reproducible leaderboards for state-of-the-art models on most of important tasks in the graph domain.
The new v0.2.0 release includes easy-to-use experiment and pipeline APIs for all experiments and applications. The experiment API supports automl features of searching hyper-parameters. Thanks to all the contributors. 🎉
CogDL provides OAGBert API for model inference (OAGBert is trained on large-scale academic corpus). Details of OAGBert usage can be found in this link.