Abstract: Embodiments of this application disclose a node fusion method for a computational graph and a device. The method includes: converting a neural network into a computational graph; extracting one or more parallelizable branch groups from the computational graph based on a dependency relationship between nodes in the computational graph, where the dependency relationship indicates at least one of the following relationships: the parallelizable branch group has a common parent node, the parallelizable branch group has a common child node, the parallelizable branch group has no parent node, and the parallelizable branch group has no child node; and finally, fusing a plurality of nodes in any parallelizable branch group that respectively belong to different sub-branches to obtain a new computational graph.

Abstract: A method can be used for detecting, in a sample, an autoantibody binding to a polypeptide having the sequence SEQ ID NO: 1, SEQ ID NO: 11 or SEQ ID NO: 24. A carrier containing said polypeptide and an autoantibody binding to said polypeptide are useful. The autoantibody may be used for the diagnosis of a disease, and a method can be used for isolating an autoantibody binding to said polypeptide. The polypeptide and a kit containing said polypeptide are useful, and can be used for the manufacture of a kit or medical device. A method involves contacting a medical or diagnostic device containing said polypeptide with a buffered solution containing an antibody binding specifically to said polypeptide. A sample containing said autoantibody as a positive control and a diluted sample containing said autoantibody are useful.