Narrative generation for situation event graphs

A computer-implemented method, the method comprising:

• determining an event graph of a causal chain of events representing a situation within a network, the event graph including event text characterizing at least one event of the causal chain of events;
• processing the event graph using a large language model that includes at least one topological context adapter that includes a graph adapter and a text adapter, including processing the event graph with the graph adapter and the event text with the text adapter, wherein the at least one topological context adapter is trained using existing narratives describing past situations;
• and
• combining outputs of the graph adapter and the text adapter to generate, from the large language model, a narrative of the situation that explains the causal chain of events.

A system comprising:

• at least one memory including instructions;
• and
• at least one processor that is operably coupled to the at least one memory and that is arranged and configured to execute instructions that, when executed, cause the at least one processor to:
• determine an event graph of a causal chain of events representing a situation within a network, the event graph including event text characterizing at least one event of the causal chain of events;
• process the event graph using a large language model that includes at least one topological context adapter that includes a graph adapter and a text adapter, including processing the event graph with the graph adapter and the event text with the text adapter, wherein the at least one topological context adapter is trained using existing narratives describing past situations;
• and
• combine outputs of the graph adapter and the text adapter to generate, from the large language model, a narrative of the situation that explains the causal chain of events.