KG4Rec_Paperlist

This is a list of top papers about knowledge graph (KG)-aware recommendations.

Table of Contents

• Survey paper
• Dataset
• Graph Neural Network
• Knowledge Graph
• Graph based Recommendation
• KG based Recommendation

Survey Paper

• A Survey on Knowledge Graph-Based Recommender Systems (TKDE 20)

Dataset

• Amazon-Book
• Last-FM
• Yelp2018
• Alibaba-iFashion
• Book-Crossing
• MovieLens
• Dianping-Food

Graph Neural Network

• 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)

Knowledge Graph

• 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)

Graph based Recommendation

• [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)

KG based Recommendation

Embedding based

• [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)

Path based

• [KPRN] Explainable Reasoning over Knowledge Graphs for Recommendation (AAAI 19)

Propagation based

• [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)

Explainations

• [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)