Data processing method and device, equipment and storage medium

The embodiment of the invention provides a data processing method and device, equipment and a storage medium, and aims to improve the prediction accuracy. The method comprises the steps of building a heterogeneous relation network with objects as nodes and the relation between the objects as edges, wherein the objects comprise users; in the heterogeneous relation network, determining a plurality of meta-path sequences taking a target user as a starting point; determining a path vector corresponding to the meta-path sequence based on first attention information; and predicting a feature value of the target user based on second attention information and the path vector. Individual attributes and a heterogeneous relation network can be fused, and the prediction accuracy is improved. 本申请实施例提供了一种数据处理方法、装置、设备和存储介质，以提高预测的准确性。所述方法包括：以对象为节点，对象之间的关系为边建立异构关系网络，所述对象包括用户；在所述异构关系网络中，确定以目标用户为起点的多条元路径序列；基于第一注意力信息，确定所述元路径序列对应的路径向量；基于第二注意力信息和所述路径向量，预测所述目标用户的特征值。能够融合个体属性和异构关系网络，提高预测的准确性。