Graph/Text Representation Learning with ML/DL for Real-World Applications

• Node/Edge/Graph Embedding with Graph Neural Networks
• Graph Construction from Un-/Semi-Structured Data
• Context-aware Relational Learning for Knowledge Graphs
• Open-World Knowledge Graph Reasoning for Unseen Entities and Relations

Multi-Modal Large Language Models & Foundation Models

• Prompting Engineering, RAG, GraphRAG, Chain-of-Thought
• Graph-Structured Interaction for LLMs
• Knowledge-Enhanced LLMs
• Knowledge Distillation with LLMs

Knowledge-Enhanced Language Models, Information Retrieval, and Recommendation

• Graph-based & Explainable Item Recommendation
• Knowledge Injection for Conversational Recommender System
• Open-Domain/Persona-Grounded Response Generation
• Document Analysis (Sentiment, Opinion, Topic, Named Entity, Summary, ...)