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• Example Page 1
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• LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation
• MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems
• Learning Long Range Dependencies on Graphs via Random Walks
• DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
• Balancing Efficiency and Expressiveness: Subgraph GNNs with Walk-Based Centrality
• CONTEXTGNN: Beyond Two-Tower Recommendation Systems
• LightGCL: Simple Yet Effective Graph Contrastive Learning for recommendation
• DropMessage: Unifying Random Dropping for Graph Neural Networks