Papers
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GNN-based Recommender Systems
Knowledge-aware Graph Neural Networks with Label Smoothness
Regularization for Recommender Systems
Published:5/11/2019
Knowledge Graph EmbeddingGNN-based Recommender SystemsLabel Smoothness RegularizationCold-Start RecommendationKnowledge-Aware Recommendation Methods
KGNNLS models userspecific KG relations with label smoothness regularization, enabling endtoend training for better personalized recommendations, notably improving coldstart performance and scalability, outperforming stateoftheart baselines across datasets.
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Linear-Time Graph Neural Networks for Scalable Recommendations
Published:2/22/2024
GNN-based Recommender SystemsLinear-Time Graph Neural NetworksScalable Recommender SystemsUser-Item Interaction Modeling
This paper introduces LTGNN, a lineartime GNN enabling scalable recommendation systems with MFlevel efficiency and superior predictive accuracy, validated by extensive experiments and ablation studies.
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