System and method for performing graph imputation

A system comprising:

• a processor;
• and
• a memory in communication with the processor having machine-executable instruction that, when executed by the processor, cause the processor to:
• receive, from an external source, an incoming graph stream comprising a plurality of graphs having detected object information and at least one missing graph,
• transform the plurality of graphs into incoming embedded vectors having values that represent detected object information of the incoming graph stream,
• provide the embedded vector that corresponds to the at least one missing graph with a missing graph value, and
• substitute the missing graph value with a substitute value using a recurrent neural network that interpolates the substitute value using the incoming embedded vectors that are not equal to the missing graph value.

A non-transitory computer readable medium having instructions that, when executed by a processor, cause the processor to:

• receive, from an external source, an incoming graph stream comprising a plurality of graphs having detected object information and at least one missing graph;
• and
• transform the plurality of graphs into incoming embedded vectors having values that represent detected object information of the incoming graph stream;
• provide the embedded vector that corresponds to the at least one missing graph with a missing graph value;
• and
• substitute the missing graph value with a substitute value using a recurrent neural network that interpolates the substitute value using the incoming embedded vectors that are not equal to the missing graph value.