STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, Jie Tang
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 information about neighbors is left insufficiently explored.
Topics & Concepts
Computer scienceFocus (optics)GraphPerspective (graphical)EmbeddingArtificial neural networkAggregate (composite)Component (thermodynamics)Artificial intelligenceTheoretical computer scienceOpticsComposite materialThermodynamicsPhysicsMaterials scienceRecommender Systems and TechniquesAdvanced Graph Neural NetworksTopic Modeling