This is a list of top papers about knowledge graph (KG)-aware recommendations.
- Survey paper
- Dataset
- Graph Neural Network
- Knowledge Graph
- Graph based Recommendation
- KG based Recommendation
- Disentangled Graph Convolutional Networks (ICML 19)
- Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks (NIPS 20)
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks (KDD 20)
- Graph Structure Learning for Robust Graph Neural Networks (KDD 20)
- Improving Graph Neural Networks with Structural Adaptive Receptive Fields (WWW 21)
- DeGNN: Improving Graph Neural Networks with Graph Decomposition (KDD 21)
- Modeling Relational Data with Graph Convolutional Networks (ESWC 18)
- Convolutional 2D Knowledge Graph Embeddings (AAAI 18)
- [CompGCN] Composition-based Multi-Relational Graph Convolution (ICLR 20)
- Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs (NIPS 20)
- Knowledge Router Learning Disentangled Representations for Knowledge Graphs (NAACL 21)
- Relational Message Passing for Knowledge Graph Completion (KDD 21)
- Representation Learning on Knowledge Graphs for Node Importance Estimation (KDD 21)
- [NGCF] Neural Graph Collaborative Filtering (SIGIR19)
- [MacridVAE] Learning Disentangled Representations for Recommendation (NIPS 19)
- [LightGCN] LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (SIGIR 20)
- [DGCF] Disentangled Graph Collaborative Filtering (SIGIR 20)
- [DisenHAN] DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation (CIKM 20)
- Disentangled Self-Supervision in Sequential Recommenders (KDD 20)
- [GNUD] Graph Neural News Recommendation with Unsupervised Preference Disentanglement (ACL 20)
- [IMP-GCN] Interest-aware Message-Passing GCN for Recommendation (WWW 21)
- Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method (SIGIR 21)
- [AnchorKG] Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning (KDD 21)
- [MixGCF] MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems (KDD 21)
- [CKE] Collaborative Knowledge Base Embedding for Recommender Systems (KDD 16)
- [KTUP] Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences (WWW 19)
- [Hyper-know] Knowledge-Enhanced Top-K Recommendation in Poincar´e Ball (AAAI 21)
- [UGRec] Modeling Directed and Undirected Relations for Recommendation (SIGIR 21)
- [KPRN] Explainable Reasoning over Knowledge Graphs for Recommendation (AAAI 19)
- [RippleNet] RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (CIKM 18)
- [DKN] Deep Knowledge-Aware Network for News Recommendation (WWW 18)
- [KGNN-LS] Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (KDD 19)
- [KGAT] KGAT: Knowledge Graph Attention Network for Recommendation (KDD 19)
- [KGCN] Knowledge Graph Convolutional Networks for Recommender Systems (WWW 19)
- [CKAN] CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems (SIGIR 20)
- [ATBRG] ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (SIGIR 20)
- [KGIN] Learning Intents behind Interactions with Knowledge Graph for Recommendation (WWW 21)
- [KCAN] Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation (CIKM 21)
- [LKGR] Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (WSDM 22)
- [HAKG] Hierarchy-Aware Knowledge Gated Network for Recommendation (SIGIR 22)
- [MCCLK] Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System (SIGIR 22)
- [KGCL] Knowledge Graph Contrastive Learning for Recommendation (SIGIR 22)
- [AKGAN] Learning item attributes and user interests for knowledge graph enhanced recommendation (Arxiv)
- [ADAC] Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs (SIGIR 20)
- [AnchorKG] Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning (KDD 21)
- [ReMR] Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning (WWW 22)
- [PLM-Rec] Path Language Modeling over Knowledge Graphs for Explainable Recommendation (WWW 22)