GNN in RS

User-item CF

• Graph convolutional matrix completion (KDD'18) [doc]

• Graph Convolutional Neural Networks for Web-Scale Recommender Systems (KDD'18) [doc]

• Spectral Collaborative Filtering (RecSys'18) [doc] [code]

• STAR-GCN: stacked and reconstructed graph convolutional networks for recommender systems (IJCAI'19) [doc] [code]

• Binarized collaborative filtering with distilling graph convolutional networks (IJCAI'19) [doc]

• Hierarchical representation learning for bipartite graphs (IJCAI'19) [doc]

• Neural Graph Collaborative Filtering (SIGIR'19) [doc] [code]

• Multi-graph Convolution Collaborative Filtering (ICDM'19) [doc]

• Multi-Component Graph Convolutional Collaborative Filtering (arxiv'19) [doc]

• Inductive Matrix Completion Based on Graph Neural Networks (ICLR'19) [doc][code]

• Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach (AAAI'20) [doc][code]

• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (SIGIR'20) [doc][code]

• Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach (SIGIR'20) [doc]

• Neighbor Interaction Aware Graph Convolution Networks for Recommendation (SIGIR'20) [doc]

• Disentangled Graph Collaborative Filtering (SIGIR'20) [doc][code]

• Multi-behavior Recommendation with Graph Convolutional Networks (SIGIR'20) [doc]

• Learning to Hash with Graph Neural Networks for Recommender Systems (WWW'20) [doc]

• Dual Channel Hypergraph Collaborative Filtering (KDD'20) [doc]

• Deoscillated Graph Collaborative Filtering (arxiv'20) [doc][code]

• Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Application (ICDE'20) [doc]

• DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation (CIKM'20) [doc]

• Graph Convolution Machine for Context-aware Recommender System (arxiv'20) [doc]

• GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems (CIKM'20) [doc]

• Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering (SDM'20) [doc]

• Self-supervised graph learning for recommendation (SIGIR'21) [doc]

Sequential recommendation

• Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks (CIKM'19) [doc]

• Session-based social recommendation via dynamic graph attention networks (WSDM'19) [doc] [code]

• Session-based Recommendation with Graph Neural Networks (AAAI'19) [doc] [code]

• Graph Contextualized Self-Attention Network for Session-based Recommendation (IJCAI'19) [doc]

• NISER: Normalized Item and Session Representations to Handle Popularity Bias (arxiv'19) [doc]

• Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation (arxiv'19) [doc] [code]

• GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model (2019) [doc]

• Memory Augmented Graph Neural Networks for Sequential Recommendation (AAAI'20) [doc]

• Context-Aware Graph Embedding for Session-Based News Recommendation (RecSys'20) [doc]

• Disentangled Self-Supervision in Sequential Recommenders (KDD'20) [doc]

• Handling Information Loss of Graph Neural Networks for Session-based Recommendation (KDD'20) [doc] [code]

• TAGNN: Target Attentive Graph Neural Networks for Session-Based Recommendation (SIGIR'20) [doc]

• GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation (SIGIR'20) [doc]

• Global Context Enhanced Graph Neural Networks for Session-based Recommendation (SIGIR'20) [doc]

• Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction (WWW'20) [doc]

• Star Graph Neural Networks for Session-based Recommendation (CIKM'20) [doc]

• Inter-sequence Enhanced Framework for Personalized Sequential Recommendation (arxiv'20) [doc]

• DGTN: Dual-channel Graph Transition Network for Session-based Recommendation (arxiv'20) [doc]

• Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (AAAI'21) [doc] [code]

• Temporal Augmented Graph Neural Networks for Session-Based Recommendations (SIGIR'21) [doc] [code]

• Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer (CIKM'21) [doc]

• Self-Supervised Graph Co-Training for Session-Based Recommendation (CIKM'21) [doc]

• Sequence-aware Heterogeneous Graph Neural Collaborative Filtering (SDM'21) [doc]

• Session-based Recommendation with Hypergraph Attention Networks (SDM'21) [doc]

• Sequential Recommendation with Graph Neural Networks (SIGIR'21) [doc]

• Dual Attention Transfer in Session-Based Recommendation with Multi- Dimensional Integration (SIGIR'21) [doc]

Social recommendation

• Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation (2019) [doc]

• Graph Neural Networks for Social Recommendation (WWW'19) [doc] [code]

• Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems (WWW'19) [doc] [code]

• A Neural Influence Diffusion Model for Social Recommendation (SIGIR'19) [doc] [code]

• Session-based social recommendation via dynamic graph attention networks (WSDM'19) [doc] [code]

• Graph Attention Networks for Neural Social Recommendation (2019) [doc]

• Diffnet++: A neural influence and interest diffusion network for social recommendation (TKDE'20) [doc]

• Enhance Social Recommendation with Adversarial Graph Convolutional Networks (arxiv'20) [doc]

• Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks (ICDM'20) [doc] [code]

• Temporal Graph Neural Networks for Social Recommendation (ICBD'20) [doc]

• A deep graph neural network-based mechanism for social recommendations (2020) [doc]

• Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (WWW'21) [doc]

• Knowledge-aware Coupled Graph Neural Network for Social Recommendation (AAAI'21) [doc]

• An Efficient and Effective Framework for Session-Based Social Recommendation (WSDM'21) [doc] [code]

• Social Recommendation with Implicit Social Influence (SIGIR'21) [doc]

Knowledge-graph enhanced recommendation

• Knowledge Graph Convolutional Networks for Recommender Systems (WWW'19) [doc] [code]

• Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (KDD'19) [doc]

• KGAT: Knowledge Graph Attention Network for Recommendation (KDD'19) [doc] [code]

• IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (KDD'19) [doc]

• Attentive Knowledge Graph Embedding for Personalized Recommendation (arxiv'19) [doc]

• An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation (2019) [doc]

• Multi-modal Knowledge Graphs for Recommender Systems (CIKM'20) [doc]

• TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation (CIKM'20) [doc]

• Reinforced Negative Sampling over Knowledge Graph for Recommendation (WWW'20) [doc]

• Quaternion-Based Knowledge Graph Network for Recommendation (MM'20) [doc]

• ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation (SIGIR'20) [doc]

• CKAN: Collaborative Knowledge-aware Attentive Network for Recommender Systems (SIGIR'20) [doc] [code]

• Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View (SIGIR'20) [doc]

• HAGERec: hierarchical attention graph convolutional network incorporating knowledge graph for explainable recommendation (KBS'20) [doc]

• A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation (arxiv'20) [doc]

• Knowledge-Enhanced Graph Neural Networks for Sequential Recommendation (2020) [doc]

• Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation (AAAI'21) [doc] [code]

• Learning Intents behind Interactions with Knowledge Graph for Recommendation (WWW'21) [doc] [code]

Others

POI Recommendation

• Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation (CIKM'20) [doc]
• STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation (CIKM'20) [doc]
• Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation (IJCAI'21) [doc]

Group recommendation

• GAME: Learning Graphical and Attentive Multi-view Embeddings for Occasional Group Recommendation (SIGIR'20) [doc]
• Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation (SIGIR'20) [doc]

Bundle recommendation

• Bundle Recommendation with Graph Convolutional Networks (SIGIR'20) [doc] [code]
• Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (SIGIR'20) [doc]

Mutimedia Recommendation

• MMGCN: Multi-Modal Graph Convolution Network for Personalized Recommendation of Micro-Video (MM'19) [doc]
• Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback (MM'20) [doc]
• Multi-modal Knowledge Graphs for Recommender Systems (CIKM'20) [doc]

CTR prediction

• Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction (CIKM'20) [doc] [code]
• Dual Graph enhanced Embedding Neural Network for CTR Prediction (KDD'20) [doc]

Remaining

• Cross-Domain Recommendation via Preference Propagation GraphNet (CIKM'19) [doc]
• Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks (WWW'19) [doc] [code]
• Metapath-guided Heterogeneous Graph Neural Network for Intent Recommendation (KDD'19) [doc]
• Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks (arxiv'19) [doc]
• A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce (KDD'20) [doc]
• Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce (KDD'20) [doc]
• Set-Sequence-Graph - A Multi-View Approach Towards Exploiting Reviews for Recommendation (CIKM'20) [doc]
• Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items (CIKM'20) [doc]
• Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks (CIKM'20) [doc]
• GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation (SIGIR'20) [doc]
• A Heterogeneous Graph Neural Model for Cold-Start Recommendation (SIGIR'20) [doc]
• Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View (SIGIR'20) [doc]
• Basket Recommendation with Multi-Intent Translation Graph Neural Network (ICBD'20) [doc] [code]

Cite

Please cite our paper if you find it useful in your work:

@article{wu2020graph,
  title={Graph neural networks in recommender systems: a survey},
  author={Wu, Shiwen and Sun, Fei and Zhang, Wentao and Xie, Xu and Cui, Bin},
  journal={ACM Computing Surveys (CSUR)},
  year={2020},
  publisher={ACM New York, NY}
}