- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention
- Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
- ActiveLink: Deep Active Learning for Link Prediction in Knowledge Graphs
- BOLT-K: Bootstrapping Ontology Learning via Transfer of Knowledge
- Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
- Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
- Triple Trustworthiness Measurement for Knowledge Graph
- A Neural Bag-of-Words Modelling Framework for Link Prediction in Knowledge Bases with Sparse Connectivity
- Semi-Supervised Entity Alignment via Knowledge Graph Embedding with Awareness of Degree Difference
- Knowledge Graph Convolutional Networks for Recommender Systems
- Tracy: Tracing Facts over Knowledge Graphs and Text
- Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences
- Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention
- Improved Cross-Lingual Question Retrieval for Community Question Answering
- Be Concise and Precise: Synthesizing Open-Domain Entity Descriptions from Facts
- Joint Entity Linking with Deep Reinforcement Learning
- Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning