Knowledge-Aware Recommendation

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Ekar: An Explainable Method for Knowledge Aware Recommendation
  22 Jun 2019 2 repositories listed
  Recently, a variety of methods have been developed for this problem, which generally try to learn effective representations of users and items and then match items to users according to their representations.
• Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
  13 May 2025 1 repository listed Syntology ran 2 of 5 samples · 3 unverified
  To overcome these limitations, we propose hyperbolic contrastive learning with model-augmentation for knowledge-aware recommendation.
• Knowledge-aware Dual-side Attribute-enhanced Recommendation
  24 Mar 2024 1 repository listed
  Specifically, we build \textit{user preference representations} and \textit{attribute fusion representations} upon the attribute information in knowledge graphs, which are utilized to enhance \textit{collaborative…
• Knowledge-refined Denoising Network for Robust Recommendation
  28 Apr 2023 1 repository listed
  Knowledge graph (KG), which contains rich side information, becomes an essential part to boost the recommendation performance and improve its explainability.
• Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning
  22 Aug 2022 1 repository listed
  Specifically, we first construct local and non-local graphs for user/item in KG, exploring more KG facts for KGR.
• Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
  19 Apr 2022 1 repository listed
  Different from traditional contrastive learning methods which generate two graph views by uniform data augmentation schemes such as corruption or dropping, we comprehensively consider three different graph views for…
• HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation
  11 Apr 2022 1 repository listed
  Furthermore, we propose a dual item embeddings design to represent and propagate collaborative signals and knowledge associations separately, and leverage the gated aggregation to distill discriminative information for…
• KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
  30 Jul 2018 1 repository listed
  Based on our linked dataset, we first preform some interesting qualitative analysis experiments, in which we discuss the effect of two important factors (i.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.