STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
Component (thermodynamics)
DOI:
10.1145/3485447.3512041
Publication Date:
2022-04-25T05:13:07Z
AUTHORS (5)
ABSTRACT
Graph neural network-based recommendation systems are blossoming recently, and its core component is aggregation methods that determine neighbor embedding learning. Prior arts usually focus on how to aggregate information from the perspective of spatial structure information, but temporal about neighbors left insufficiently explored.
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