MIMA: Multi-Feature Interaction Meta-Path Aggregation Heterogeneous Graph Neural Network for Recommendations

MIMA: Multi-Feature Interaction Meta-Path Aggregation Heterogeneous Graph Neural Network for Recommendations

Meta-path-based heterogeneous graph neural networks have received widespread attention for better mining the similarities between heterogeneous nodes and for discovering new recommendation rules. Most existing models depend solely on node IDs for learning node embeddings, failing to leverage attribu...

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Bibliografische gegevens
Hoofdauteurs: Yang Li, Shichao Yan, Fangtao Zhao, Yi Jiang, Shuai Chen, Lei Wang, Li Ma
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2024-07-01
Reeks:Future Internet
Onderwerpen:
heterogeneous graph
multi-head attention
multi-feature interaction
meta-path aggregation
heterogeneous graph neural network
Online toegang:https://www.mdpi.com/1999-5903/16/8/270

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https://www.mdpi.com/1999-5903/16/8/270

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