Training device, inferring device, training method, inferring method, and non-transitory computer readable medium

A training method comprising

• training, by one or more processors, a first converter that converts a first feature amount regarding a node of a graph and a second feature amount regarding a structure of the graph into a first latent value through conversion capable of defining inverse conversion, and second converter that converts the second feature amount into a second latent value through conversion capable of defining inverse conversion, based on the first latent value and the second latent value.

An generation method comprising:

• performing, by one or more processors, second inverse conversion on second data into a second feature amount regarding a structure of a first graph;
• and
• performing, by the one or more processors, first inverse conversion on first data into a first feature amount regarding a node of the first graph by using the second feature amount.