> For the complete documentation index, see [llms.txt](https://sliu583.gitbook.io/blog/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sliu583.gitbook.io/blog/specific-work/shivarams-group/embeddings/kgvec2go-knowledge-graph-embeddings-as-a-service.md).

# KGvec2go - Knowledge Graph Embeddings as a Service

* Source: <http://kgvec2go.org/>&#x20;

### Basic Idea

A web API for accessing and consuming graph embeddings in a light-weight fashion in downstream applications. Also, use a combination of multiple models which leads to better outcome.&#x20;

### Approach&#x20;

* Walk generation of embeddings (duplicate free random walks)
* Web API to access the data models in a lightweight way. Bring powerful embedding models to devices with restriction in CPU and RAM.&#x20;

### Question&#x20;

* What is its motivation and key contribution?&#x20;
* How does the access work exactly? (computationally cheap, memory efficient, easy), how does this paper show all of these?&#x20;