Search data processing method and device, computer equipment and storage medium

The invention relates to a search data processing method and device, computer equipment, a storage medium and a computer program product. The invention relates to an artificial intelligence technology. The method comprises the following steps: acquiring a plurality of first training sample pairs from a media search graph; the plurality of first training sample pairs comprise positive node pairs and negative node pairs; sampling the media search graph based on the meta-paths corresponding to the search terms and the media data to obtain sampling sub-graphs corresponding to search term nodes and media nodes in the first training sample pair; inputting the sampling sub-graphs respectively corresponding to each node in the first training sample pair into an initial graph neural network to obtain respective initial semantic features of each node, and forming a semantic feature pair corresponding to the first training sample pair; and based on the difference between the semantic feature pairs corresponding to the p