HIGHLIGHTS
- who: Attention-enhanced Graph Neural and collaborators from the School of Computer and Information Science, Southwest University, Chongqing, China have published the research: Attention-enhanced Graph Neural Networks with Global Context for Session-based Recommendation, in the Journal: (JOURNAL)
- what: The authors propose a novel approach named Attentionenhanced Networks with Global Context for (AGNN-GC) to learn and merge item transitions of all sessions in a cleverer way to enhance the effects. The authors propose a novel attention mechanism to process fused features after learning and merging the information of the global-level and local . . .
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