Graph Representation Learning

• Graph Neural Networks (GNNs) for Node/Edge/Graph Embedding
• Knowledge Graph Representation/Completion/Validation/Construction
• Context-Aware Knowledge Graph Representation and Relational Learning

Large Language Models (LLMs)

• Multi-Modal & Knowledge-Enhanced Foundation Models
• Knowledge & LLM Distillation for Efficient Model Development
• Advanced Prompt Engineering: Chain-of-Thought (CoT), and Retrieval-Augmented Generation (RAG)

Synergizing LLMs and Graphs

• Text-to-Graph & Graph-to-Text Generation
• Graph-Structured Interaction for LLMs (GraphRAG, Graph-driven LLM Agents)
• Knowledge-grounded & Context-aware Response Generation with LLMs

Natural Language Processing (NLP)

• Question Answering, Information Retrieval & Extraction
• Document Analysis (Sentiment, Opinion, Topic, NER, Summarization)

Recommender Systems

• Knowledge-enhanced & Explainable Recommendations
• Conversational & Graph-based Recommendations

Graph Analytics and Prediction

• Node & Graph Classification Tasks
• Link Prediction and Knowledge Graph Completion