Nonindependent Session Recommendation Based on Ordinary Differential Equation

Figure 1

A macro view of the SessODEnet model. On the whole, the neural ordinary differential equations model consists of four parts, namely, the construction of the session graph, the learning of the gated graph neural network, the ordinary differential equation solver, and the final output.