简介

随着在线信息的爆炸式增长，推荐系统在缓解信息超载问题方面发挥着关键作用。由于推荐系统的重要应用价值，一直有该领域的新兴工作不断涌现。在推荐系统中，主要挑战是从用户的稀疏交互和辅助信息中学习有效的用户/项目表征。最近，由于推荐系统天然具备图结构特性，GNN在推荐系统中自然具备了得天独厚的应用优势。本文章旨在全面回顾最近几年基于 GNN 的推荐系统工作。具体来说，我们提出了一种新的分类体系，主要基于推荐系统使用的信息类型和推荐系统任务类型来划分，此外，我们系统地分析了 GNN 应用于不同领域的挑战，并探讨现有工作是如何解决这些挑战的。最后，我们阐述了关于GNN发展的前瞻性观点，并收集并整理了现有的代表性工作。

本文主要先整理出所有关于GNN的文章，其中，[doc]标识代表有pdf可下载，[code]代表有开源代码，可参见github：https://github.com/wusw14/GNN-in-RS。

下回我将分享关于本篇综述的核心内容，敬请期待。

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]