As you see in Quick Start, GraphVite can be simply invoked from a command line. Here are some other useful commands you may use.
Reproduce baseline benchmarks¶
graphvite baseline [keyword ...] [--no-eval] [--gpu n] [--cpu m]
GraphVite provides a large number of baselines on standard datasets. To reproduce a baseline benchmark, you only need to specify the keywords of the experiment, and the library will do all the rest.
By default, baselines are configured to use all CPUs and GPUs. You may override this behavior by specifying the number of GPUs and the number of CPUs per GPU.
For example, the following command line reproduces RotatE model on FB15k dataset, using 4 GPUs and 12 CPUs.
graphvite baseline rotate fb15k --gpu 4 --cpu 3
graphvite list to get a list of available baselines.
Run configuration files¶
graphvite run [config] [--no-eval] [--gpu n] [--cpu m]
Experiments can be easily conducted in GraphVite by specifying a yaml configuration. For how to write an experiment configuration, see Configuration Files.
Visualize high-dimensional vectors¶
graphvite visualize [file] [--label label_file] [--save save_file] [--perplexity n] [--3d]
You can visualize your high-dimensional vectors with a simple command line in GraphVite.
The file can be either in numpy dump or text format. You can also provide a label
file indicating the category of each data point. For the save file, we recommend to
png format, while