The application provides a project budget management method and device, relates to the technical field of budget management, and solves the technical problems of existing project budget management technology, such as static, budget response not timely, and lack of compliance
traceability. The method specifically comprises the following steps: obtaining first information of a project; integrating project basic information into a project main node, integrating budget subject information into a budget subject node, integrating budget template information into a project edge between nodes, and constructing a
knowledge graph; converting the project main node and the budget subject node into low-dimensional vectors through semantic embedding, generating a weight vector through relationship embedding of the project edge, and forming GNN model input data; iteratively training the GNN model input data by using a heterogeneous graph
attention network architecture; predicting the
knowledge graph with changed project basic information by using a trained model, outputting budget adjustment parameters, and updating the
knowledge graph to complete project budget management. The application is used for project budget management.