Context sensing method and system based on weighted GraphSAGE and data access control method

The invention belongs to the technical field of data access control, and particularly relates to a context sensing method and system based on weighted GraphSAGE and a data access control method, and the method comprises the following steps: acquiring original context information describing access control entity data from a user access record data set; constructing a weighted graph of context information, and modeling an access control context sensing problem into an inductive learning clustering problem represented by graph nodes; utilizing a GraphSAGE graph neural network model to learn graph node representation and obtain node embedding information, wherein the node embedding information at least comprises node features, node relation features and node relation strength; and a clustering algorithm is utilized to carry out induction clustering on the node embedded information and generate scene information formed by a contextual information composition set, and the scene information is utilized to automatica