- Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
- TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
- Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
- News Recommendation with Topic-Enriched Knowledge Graphs
- STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
- Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
- Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search
- Star Graph Neural Networks for Session-based Recommendation
- Multi-modal Knowledge Graphs for Recommender Systems
- DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
- Time-aware Graph Relational Attention Network for Stock Recommendation
- Multiplex Graph Neural Networks for Multi-behavior Recommendation
- Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation
- Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items
- GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
- Personalized Re-ranking with Item Relationships for E-commerce
- Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation
- DREAM: A Dynamic Relational-Aware Model for Social Recommendation
- An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
- Policy-GNN: Aggregation Optimization for Graph Neural Networks
- Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation
- Dual Channel Hypergraph Collaborative Filtering
- MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks
- A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
- Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation
- Fairness-Aware Explainable Recommendation over Knowledge Graphs
- Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
- LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
- Multi-behavior Recommendation with Graph Convolution Networks
- Hierarchical Fashion Graph Network for Personalised Outfit Recommendation
- GAG: Global Attributed Graph Neural Network for Streaming Session-based Recommendation
- Neighbor Interaction Aware Graph Convolution Networks for Recommendation
- Next-item Recommendation with Sequential Hypergraphs
- Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation
- Disentangled Representations for Graph-based Collaborative Filtering
- Global Context Enhanced Graph Nerual Networks for Session-based Recommendation
- Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
- Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
- Spatio-Temporal Dual Graph Attention Network for Query-POI Matching
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning
- Bundle Recommendation with Graph Convolutional Networks
- Reinforcement Learning based Recommendation with Graph Convolutional Q-network
- A Heterogeneous Graph Neural Model for Cold-Start Recommendation
- TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation
- Heterogeneous Graph Neural Network for Recommendation
- Graph Attentive Network for Region Recommendation with POI-and ROI-Level Attention. APWeb
- Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
- Memory Augmented Graph Neural Networks for Sequential Recommendation
- Multi-Component Graph Convolutional Collaborative Filtering
- Bilinear Graph Neural Network with Neighbor Interactions
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
- Quaternion-Based Knowledge Graph Network for Recommendation
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
- MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video
- Price-aware Recommendation with Graph Convolutional Networks
- Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
- Group-Buying Recommendation for Social E-Commerce
- Hierarchical Bipartite Graph Neural Networks: Towards Large-Scale E-commerce Applications
- Graph Enhanced Representation Learning for News Recommendation
- Weakly Supervised Attention for Hashtag Recommendation using Graph Data
- Learning to Hash with Graph Neural Networks for Recommender Systems
- Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
- Cross-Domain Recommendation via Preference Propagation GraphNet
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
- Basket Recommendation with Multi-Intent Translation Graph Neural Network IEEE Bigdata 2020
- Group-Buying Recommendation for Social E-Commerce ICDE 2021
- Heterogeneous Graph Collaborative Filtering using Textual Information
- DGTN: Dual-channel Graph Transition Network for Session-based Recommendation
- Graph Factorization Machines for Cross-Domain Recommendation
- Graph Convolution Machine for Context-aware Recommender System
- Inter-sequence Enhanced Framework for Personalized Sequential Recommendation
- GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. Pattern Recognition
- On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
- Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
- RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding
- A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
- Temporal Collaborative Filtering with Graph Convolutional Neural Networks
- DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
- Game Recommendation Based on Dynamic Graph Convolutional Network. DASFAA 2020
- Metapath-and Entity-aware Graph Neural Network for Recommendation
- Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
- Deoscillated Graph Collaborative Filtering
- Enhance Social Recommendation with Adversarial Graph Convolutional Networks
- Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks
- A context-aware citation recommendation model with BERT and graph convolutional networks. Scientometrics 2020
- Dynamic Graph Collaborative Filtering
- Multi-Graph Group Collaborative Filtering
- GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation PAKDD
- Neural graph personalized ranking for Top-N Recommendation
- Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation
- Hybrid graph convolutional networks with multi-head attention for location recommendation
- MGAT: Multimodal Graph Attention Network for Recommendation
- Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling
- Gnnguard: Defending graph neural networks against adversarial attacks
- A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering
- Robust Graph Convolutional Networks Against Adversarial Attacks
- Transferring Robustness for Graph Neural Network Against Poisoning Attacks
- SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems
- Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks