Systems and methods for in-situ graph-based data processing

A method for dynamic generation of executable graph-based models, the method comprising:

• obtaining, by processing circuitry, a graph-based model comprising a plurality of nodes including a set of edge nodes and a set of role nodes, wherein:
• each edge node connects two or more nodes, of the plurality of nodes, via a corresponding plurality of roles, and
• each role corresponds to a role node of the set of role nodes, and is indicative of a relationship between a corresponding edge node and a node, of the plurality of nodes, connected to the corresponding edge node;
• obtaining, by the processing circuitry, a first overlay node comprising processing logic operable to interact with at least one node of an associated graph-based model;
• determining, by the processing circuitry, an association between a first node of the graph-based model and the first overlay node;
• and
• generating, by the processing circuitry, an executable graph-based model, wherein the executable graph-based model includes a first executable node comprising a composition of the first node of the graph-based model and the first overlay node based on the association between the first node of the graph-based model and the first overlay node.

A non-transitory computer-readable medium storing instructions which, based on execution by processing circuitry, cause the processing circuitry to:

• obtain a graph-based model comprising-one or more a plurality of nodes including a set of edge nodes and a set of role nodes, wherein:
• each edge node connects two or more nodes, of the plurality of nodes, via a corresponding plurality of roles, and
• each role corresponds to a role node of the set of role nodes, and is indicative of a relationship between a corresponding edge node and a node, of the plurality of nodes, connected to the corresponding edge node;
• obtain a first overlay node comprising processing logic operable to interact with at least one node of an associated graph-based model;
• determine an association between a first node of the graph-based model and the first overlay node;
• and
• generate an executable graph-based model, wherein the executable graph-based model includes a first executable node comprising a composition of the first node of the graph-based model and the first overlay node based on the association between the first node of the graph-based model and the first overlay node.