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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Bibliographic Details
Main Authors: Yang Li, Shichao Yan, Fangtao Zhao, Yi Jiang, Shuai Chen, Lei Wang, Li Ma
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Future Internet
Subjects:
heterogeneous graph
multi-head attention
multi-feature interaction
meta-path aggregation
heterogeneous graph neural network
Online Access: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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