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KGTORe: Tailored Recommendations through Knowledge-aware GNN Models

, , , , , and . Proceedings of the 17th ACM Conference on Recommender Systems, ACM, (September 2023)
DOI: 10.1145/3604915.3608804

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KGUF: Simple Knowledge-aware Graph-based Recommender with User-based Semantic Features Filtering., , , , , and . CoRR, (2024)Sparse Embeddings for Recommender Systems with Knowledge Graphs., , , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)A Topology-aware Analysis of Graph Collaborative Filtering., , , , , and . CoRR, (2023)Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs., , , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 505-513. CEUR-WS.org, (2022)Towards Differentially Private Machine Learning Models and Their Robustness to Adversaries., and . ICWE, volume 13362 of Lecture Notes in Computer Science, page 455-461. Springer, (2022)Sparse Feature Factorization for Recommender Systems with Knowledge Graphs., , , , and . RecSys, page 154-165. ACM, (2021)KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs., , , , and . Trans. Recomm. Syst., 1 (4): 1-30 (December 2023)Addressing Privacy in Recommender Systems with Federated Learning., , , , and . IIR, volume 3177 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Knowledge Graph Datasets for Recommendation., , , , , and . KaRS@RecSys, volume 3560 of CEUR Workshop Proceedings, page 109-117. CEUR-WS.org, (2023)Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries., , , , and . SIGIR, page 1924-1928. ACM, (2023)