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09:00-09:10
Opening and Welcome
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09:10-09:40
Keynote #1: Yang Chen, EasyGraph: A Multifunctional, Cross-Platform, and Effective Library for Interdisciplinary Network Analysis
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09:40-10:10
Keynote #2: Carl Yang, Agent-Facing Data and Knowledge Ecosystem for Healthcare
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10:10-10:20
Coffee break
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10:20-11:30
- LLaGNN: A Large Language Model-Assisted Framework for Graph Neural Network Design. A Case Study of Node Classification.
- LLM-Guided Dynamic-UMAP for Personalized Federated Graph Learning
- GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
- RAG-KT: Enhancing Knowledge Tracing with Dynamic Graph Retrieval-Augmented Generation
- HyperbolicThinker: A Hyperbolic Graph Cluster Learner with Large Language Models
- Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study
- PPoGA: Predictive Plan-on-Graph with Action for Knowledge Graph Question Answering
- Prior-aware Spatio-temporal Graph Learning for Epidemic Forecasting
- Graph of Thoughts for High-Integrity Hypothesis Reasoning and Validation
- Causal Graph of Thoughts (C-GoT): Dynamic Structural Causal Models for Autonomous Discovery Agents
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11:30-11:40
Award Ceremony & Closing Remark
