- Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks
- KGAT: Knowledge Graph Attention Network for Recommendation
- Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
- The Role of “Condition”: A Novel Scientific Knowledge Graph Representation and Construction Model
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
- AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation
- Constructing High Precision Knowledge Bases with Subjective and Factual Attributes
- Towards Knowledge-Based Personalized Product Description Generation in E-commerce