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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]