APPARATUS AND METHOD FOR CONTROLLING GRAPH NEURAL NETWORK BASED ON CLASSIFICATION INTO CLASS AND DEGREE OF GRAPH, AND RECORDING MEDIUM STORING INSTRUCTIONS TO PERFORM METHOD FOR CONTROLLING GRAPH NEURAL NETWORK BASED ON CLASSIFICATION INTO CLASS AND DEGREE OF GRAPH
Abstract:
There is provided a neural network control apparatus. The apparatus comprises a memory; and a processor configured to: classify a target node into a head group or a tail group based on a reference feature value for each class included in a graph structure; determine, if the target node is classified into the head group, a class of the target node by using a first neural network trained to derive embeddings based on a node with a class corresponding to the head group among nodes included in the graph structure; and determine, if the target node is classified into the tail group, a class of the target node by using a second neural network trained to derive embeddings based on a node with a class corresponding to the tail group among nodes included in the graph structure.
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