Machine learning-based issue classification utilizing combined representations of semantic and state transition graphs

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes the at least one processing device to perform steps of:

• obtaining, for a given issue associated with one or more assets of an information technology infrastructure, a description of the given issue and one or more system logs characterizing operation of the one or more assets of the information technology infrastructure;
• generating one or more semantic graphs characterizing the description of the given issue and one or more state transition graphs characterizing a sequence of occurrence of one or more states of the operation of the one or more assets of the information technology infrastructure;
• providing a combined representation of the one or more semantic graphs and the one or more state transition graphs for the given issue to a machine learning model;
• identifying one or more recommended classifications for the given issue based at least in part on an output of the machine learning model;
• and
• initiating one or more remedial actions in the information technology infrastructure based at least in part on the one or more recommended classifications for the given issue.

A method comprising:

• obtaining, for a given issue associated with one or more assets of an information technology infrastructure, a description of the given issue and one or more system logs characterizing operation of the one or more assets of the information technology infrastructure;
• generating one or more semantic graphs characterizing the description of the given issue and one or more state transition graphs characterizing a sequence of occurrence of one or more states of the operation of the one or more assets of the information technology infrastructure;
• providing a combined representation of the one or more semantic graphs and the one or more state transition graphs for the given issue to a machine learning model;
• identifying one or more recommended classifications for the given issue based at least in part on an output of the machine learning model;
• and
• initiating one or more remedial actions in the information technology infrastructure based at least in part on the one or more recommended classifications for the given issue;
• wherein the method is performed by at least one processing device comprising a processor coupled to a memory.