图技术赋能新质生产力跃升：核心理念、关键技术与主要路径

[Objective] Demystifying the empowering relationship between graph technology and new quality productivity will provide emerging technologies and novel perspectives to accelerate the formation of new quality productivity. [Methods] Focusing on new quality production factors, this study first elucidates the intrinsic relationships between graph talents, graph systems, graph data, and laborers, labor means, labor objects. Subsequently, the paper discriminates various graph technologies and discusses their empowering roles. On this basis, we explore the development pathways of graph technology enabling new quality productivity. [Results] In order to enable new quality productivity to leap through graphsthree core ideas, ten key technologies and four main paths are put forward. [Limitations] Industry applications and user cases need to be further studied. [Conclusions] In the realm of graphs, graph talents, graph systems and graph data constitute a new kind of production factor and their optimal combination; ten key technologies, such as graph computing, graph storage and graph learning, play empowering roles with "graph" features; the graph new quality talent, tool, factor and ecology become the only ways for graph new quality productivity to jump.