Systems and Methods for Graph-Based AI Training

A virtual assistant system, comprising:

• a display;
• a processor communicatively coupled to the display;
• and
• a memory, the memory storing an application that configures the processor to:
• provide a workspace via the display;
• record interactions with the workspace associated with a user;
• encode the recorded interactions as nodes into a graph structure, where the graph structure comprises:
• a plurality of nodes;
• and
• a plurality of edges connecting nodes in the plurality of nodes;
• train a machine learning model by providing the graph structure;
• and
• suggest interactions in the workspace using the trained machine learning model.

A method for providing a virtual assistant, comprising:

• providing a workspace via the display;
• recording interactions with the workspace associated with a user;
• encoding the recorded interactions as nodes into a graph structure, where the graph structure comprises:
• a plurality of nodes;
• and
• a plurality of edges connecting nodes in the plurality of nodes;
• training a machine learning model by providing the graph structure;
• and
• suggesting interactions in the workspace using the trained machine learning model.