The invention relates to the technical field of talent relationship evaluation, in particular to a GNN-based talent relationship evaluation method and
system, and the method comprises the following steps: based on resume
event data, classifying and accumulating influence factors, analyzing task and feedback response intervals, calculating multi-source tag differences, comparing the consistency, preferentially selecting accurate tags, and writing the tags into nodes; and adjusting and covering node
label contents according to consistency, and generating a
label updating result. According to the method, real-time comparison and optimization of multi-source
label contents are realized through classification and aggregation of resume data, promotion of dynamic evolution of node information and combination of behavior characteristics of interaction response among nodes, and node attributes and label expressions are adaptively adjusted based on label
content distribution and consistency level, so that the real-time comparison and optimization of the multi-source label contents are realized. Cooperative reflection of structure change, behavior transaction and label content in a
complex network is supported, and continuous and dynamic discrimination and quantification of data can be kept in a
time sequence propulsion and multi-dimensional interaction scene.