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Graph convolutional matrix completion (KDD'18) [doc]
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Graph Convolutional Neural Networks for Web-Scale Recommender Systems (KDD'18) [doc]
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STAR-GCN: stacked and reconstructed graph convolutional networks for recommender systems (IJCAI'19) [doc] [code]
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Binarized collaborative filtering with distilling graph convolutional networks (IJCAI'19) [doc]
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Hierarchical representation learning for bipartite graphs (IJCAI'19) [doc]
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Neural Graph Collaborative Filtering (SIGIR'19) [doc] [code]
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Multi-graph Convolution Collaborative Filtering (ICDM'19) [doc]
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Multi-Component Graph Convolutional Collaborative Filtering (arxiv'19) [doc]
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Inductive Matrix Completion Based on Graph Neural Networks (ICLR'19) [doc][code]
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Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach (AAAI'20) [doc][code]
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LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (SIGIR'20) [doc][code]
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Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach (SIGIR'20) [doc]
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Neighbor Interaction Aware Graph Convolution Networks for Recommendation (SIGIR'20) [doc]
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Disentangled Graph Collaborative Filtering (SIGIR'20) [doc][code]
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Multi-behavior Recommendation with Graph Convolutional Networks (SIGIR'20) [doc]
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Learning to Hash with Graph Neural Networks for Recommender Systems (WWW'20) [doc]
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Dual Channel Hypergraph Collaborative Filtering (KDD'20) [doc]
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Deoscillated Graph Collaborative Filtering (arxiv'20) [doc][code]
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Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Application (ICDE'20) [doc]
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DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation (CIKM'20) [doc]
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Graph Convolution Machine for Context-aware Recommender System (arxiv'20) [doc]
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GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems (CIKM'20) [doc]
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Stacked Mixed-Order Graph Convolutional Networks for Collaborative Filtering (SDM'20) [doc]
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Self-supervised graph learning for recommendation (SIGIR'21) [doc]
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Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks (CIKM'19) [doc]
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Session-based social recommendation via dynamic graph attention networks (WSDM'19) [doc] [code]
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Session-based Recommendation with Graph Neural Networks (AAAI'19) [doc] [code]
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Graph Contextualized Self-Attention Network for Session-based Recommendation (IJCAI'19) [doc]
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NISER: Normalized Item and Session Representations to Handle Popularity Bias (arxiv'19) [doc]
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Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation (arxiv'19) [doc] [code]
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GACOforRec: Session-Based Graph Convolutional Neural Networks Recommendation Model (2019) [doc]
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Memory Augmented Graph Neural Networks for Sequential Recommendation (AAAI'20) [doc]
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Context-Aware Graph Embedding for Session-Based News Recommendation (RecSys'20) [doc]
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Disentangled Self-Supervision in Sequential Recommenders (KDD'20) [doc]
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Handling Information Loss of Graph Neural Networks for Session-based Recommendation (KDD'20) [doc] [code]
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TAGNN: Target Attentive Graph Neural Networks for Session-Based Recommendation (SIGIR'20) [doc]
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GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation (SIGIR'20) [doc]
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Global Context Enhanced Graph Neural Networks for Session-based Recommendation (SIGIR'20) [doc]
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Beyond clicks: Modeling multi-relational item graph for session-based target behavior prediction (WWW'20) [doc]
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Star Graph Neural Networks for Session-based Recommendation (CIKM'20) [doc]
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Inter-sequence Enhanced Framework for Personalized Sequential Recommendation (arxiv'20) [doc]
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DGTN: Dual-channel Graph Transition Network for Session-based Recommendation (arxiv'20) [doc]
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Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (AAAI'21) [doc] [code]
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Temporal Augmented Graph Neural Networks for Session-Based Recommendations (SIGIR'21) [doc] [code]
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Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer (CIKM'21) [doc]
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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]
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Dual Attention Transfer in Session-Based Recommendation with Multi- Dimensional Integration (SIGIR'21) [doc]
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Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation (2019) [doc]
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Graph Neural Networks for Social Recommendation (WWW'19) [doc] [code]
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Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems (WWW'19) [doc] [code]
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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]
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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]
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Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks (ICDM'20) [doc] [code]
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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]
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Social Recommendation with Implicit Social Influence (SIGIR'21) [doc]
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Knowledge Graph Convolutional Networks for Recommender Systems (WWW'19) [doc] [code]
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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]
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IntentGC: a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation (KDD'19) [doc]
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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]
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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]
- 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]
- 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 with Graph Convolutional Networks (SIGIR'20) [doc] [code]
- Hierarchical Fashion Graph Network for Personalized Outfit Recommendation (SIGIR'20) [doc]
- 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]
- 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]
- 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]
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}
}
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