Graph relation network construction method and graph neural network model training method and device

The invention provides a graph relation network construction method and a graph neural network model training method and device, and relates to the field of big data processing, in particular to the technical field of user understanding, relation understanding, graph relation network construction and graph neural network model training. According to the specific implementation scheme, time sequence information between user events is fused in the constructed graph relation network, so that the constructed graph network relation containing the time sequence information can provide better user representation and user event node representation, and a good data basis is provided for subsequent graph relation network data mining based on a graph neural network and the like. 本公开提供了一种图关系网络构建方法、图神经网络模型训练方法及装置，涉及大数据处理领域，尤其涉及用户理解、关系理解、图关系网络构建、图神经网络模型训练技术领域。具体实现方案为：构建的图关系网络中融合了用户事件之间的时序信息，从而构建的包含时序信息的图网络关系能提供更好的用户表征以及用户事件节点表征，为后续的基于图神经网络等的图关系网络数据挖掘提供良好的数据基础。