ID-based Graph Recommendation Framework (PyTorch) ID-GRec is a graph recommendation framework based on Python and Pytorch, which contains the current mainstream and latest graph recommendation methods ...

Session-based Recommendation with Graph Neural Networks - recohut/sessrec-gnn ...

The library includes optimised Recommendation Systems kernels that run on FBGEMM, a high-performance kernel library, modelling primitives such as jagged tensors and embedding bags, to create ...

Graph convolutional networks are widely used for session-based recommendation (SBR) of products, aimed at solving anonymous sequence recommendation problems. However, currently almost all SBR models ...

PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

The core idea of semantic recommendation is to incorporate semantic knowledge into the recommendation process. The semantic recommendation algorithm, based on knowledge graph, ignores the deep ...

Ax and BoTorch, tools for machine learning experimentation and Bayesian model optimization, got introduced in May alongside PyTorch 1.1. Facebook’s recommendation tools have been controversial ...