| 摘要 |
From learning data that expresses inter-node connection relationships that are expressed as a graph structure or a network structure, a vicinal node information acquisition unit (81) acquires edge information that indicates the connection relationship between one node and another node to which the one node connects. Using the acquired edge information and node attribute information that indicates the attributes of the other node, a feature value calculation unit (82) calculates a feature value that is for the one node and that is to be used for prediction. |
