Ngā tūemi rite

• CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
  mā: Xu, Jinfeng, me ētahi atu.
  I whakaputaina: (2026)
• Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
  mā: Chen, Zheyu, me ētahi atu.
  I whakaputaina: (2024)
• NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
  mā: Xu, Jinfeng, me ētahi atu.
  I whakaputaina: (2025)
• The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
  mā: Xu, Jinfeng, me ētahi atu.
  I whakaputaina: (2025)
• Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
  mā: Xu, Jinfeng, me ētahi atu.
  I whakaputaina: (2024)