What would be the ideal way to set up deep learning on janusgraph data?
I have setup a simple knowledge graph on janusgraph and I wanted to use the data to train a deep learning model. I found DGL(https://dglke.dgl.ai/doc/index.html) library which seems to be used mostly. I am not sure how I should go about this.
DGL accepts training data as a simple comma seperated strings which defines the
ex: "London", "isCapitalOf", "UK"
I have multiple relationships and eventually want to get embeddings of the data and use them for recommendations with vector similarity search.
Any help would be appreciated. Thank you
DGL accepts training data as a simple comma seperated strings which defines the
from_vertex, relationship and the to_vertexex: "London", "isCapitalOf", "UK"
I have multiple relationships and eventually want to get embeddings of the data and use them for recommendations with vector similarity search.
Any help would be appreciated. Thank you
