Abstract: The construction of regional innovation networks is an important support for building an innovative country and a crucial guarantee for achieving high-quality regional development. Using patent transfer and cooperation data between cities in the Yangtze River Economic Belt, this paper employs methods of K-means clustering and geodetector to analyze the spatiotemporal evolution characteristics of technology transfer and cooperation in the Yangtze River Economic Belt. In particular, this paper explores the role chenges of cities of different types in the technology innovation network, analyzes the development patterns of patent flow, and examines the impact of multi-proximity on technology transfer and cooperation. The following conclusions are drawn: (1) The technology innovation network in the Yangtze River Economic Belt exhibits apparent heterogeneity in terms of network density distribution and important node distribution. (2) The types and features of city nodes in the technology innovation network have undergone significant changes, evolving from one single center to multiple centers, and the radiation-driven effect of first-level central cities has been constantly strengthened. (3) The net inflow of patents exhibits an inverted U-shaped relationship with patent application and per capita GDP. Cognitive proximity, social proximity, institutional proximity, economic proximity, industrial proximity, technological proximity, and geographical proximity all have impacts on technology transfer and cooperation, but their intensity and significance vary at different times, and there is a significant interaction enhancement effect between different proximity factors.