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User preference interaction fusion and swap attention graph neural network for recommender system

Research article (Neural Networks, 2025) · cited 11× · AI/ML
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User preference interaction fusion and swap attention graph neural network for recommender system

Summary

User preference interaction fusion and swap attention graph neural network for recommender system is a scholarly article[1].

Key Facts

  • User preference interaction fusion and swap attention graph neural network for recommender system's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). User preference interaction fusion and swap attention graph neural network for recommender system. Retrieved May 24, 2026, from https://4ort.xyz/entity/user-preference-interaction-fusion-and-swap-attention-graph-neural-network-for-recommender-system
MLA “User preference interaction fusion and swap attention graph neural network for recommender system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/user-preference-interaction-fusion-and-swap-attention-graph-neural-network-for-recommender-system.
BibTeX @misc{4ortxyz_user-preference-interaction-fusion-and-swap-attention-graph-neural-network-for-recommender-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{User preference interaction fusion and swap attention graph neural network for recommender system}}, year = {2026}, url = {https://4ort.xyz/entity/user-preference-interaction-fusion-and-swap-attention-graph-neural-network-for-recommender-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): User preference interaction fusion and swap attention graph neural network for recommender system — https://4ort.xyz/entity/user-preference-interaction-fusion-and-swap-attention-graph-neural-network-for-recommender-system (retrieved 2026-05-24)

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