SASRec

SASRec, developed by researchers, is a self-attention-based sequential recommendation model that excels at capturing long-term user behavior patterns for accurate next-item prediction.

Two-hop subgraph: this entity, every entity it directly relates to, and every entity those neighbors relate to. Drag a node, scroll to zoom, click to inspect — or click any neighbor and re-center the atlas there.