This is the Linux app named OGB whose latest release can be downloaded as Fixstuckimportbug.zip. It can be run online in the free hosting provider OnWorks for workstations.
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OGB
DESCRIPTION
The Open Graph Benchmark (OGB) is a collection of realistic, large-scale, and diverse benchmark datasets for machine learning on graphs. OGB datasets are automatically downloaded, processed, and split using the OGB Data Loader. The model performance can be evaluated using the OGB Evaluator in a unified manner. OGB is a community-driven initiative in active development. We expect the benchmark datasets to evolve. OGB provides a diverse set of challenging and realistic benchmark datasets that are of varying sizes and cover a variety graph machine learning tasks, including prediction of node, link, and graph properties. OGB fully automates dataset processing. The OGB data loaders automatically download and process graphs, provide graph objects that are fully compatible with Pytorch Geometric and DGL. OGB provides standardized dataset splits and evaluators that allow for easy and reliable comparison of different models in a unified manner.
Features
- OGB uses leaderboards to keep track of the state-of-the-art
- Prediction of node, link, and graph properties
- Flexible data loaders
- Realistic datasets
- Unified evaluation
- Realistic, large-scale, and diverse benchmark datasets
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ogb.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
