Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations
Abstract: Highlights•Propose a repeat-aware local graph to solve the repeat consumption phenomenon.•Simplify neighbors retrieve from global graph built from mini-batches.•Consider the node degree as node attribute to debias the popularity influences.
Loading