Bioinformatics classification model based on graph structure data features

The invention discloses a bioinformatics classification model based on graph structure data features, which comprises an image feature extraction layer, an image training layer, an image processing layer and an image classification layer, and is characterized in that the image feature extraction layer is connected with the image training layer, the image training layer is connected with the image processing layer, and the image processing layer is connected with the image classification layer; according to the method, feature extraction and neural training can be carried out on the graph structure, enhancement processing and classification can be carried out on the bioinformatics graph features, the image processing efficiency is improved, and then classification is more accurate; the adopted image classification layer classification method can reduce the overall calculation complexity and improve the calculation stability, and the data general situation analysis capability is high, so that the method is suit