Rong-Hua Li

Rethinking Graph Out-Of-Distribution Generalization: A Learnable Random Walk Perspective

When LLMs Encounter Open-world Graph Learning: A Fresh View on Unlabeled Data Uncertainty

Unlocking Graph Structure Learning with Tree-Guided Large Language Models

Toward Protein Docking-oriented De Novo Ligand Design via Gradient Inversion

Two Sides of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models

GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach

Entropy-driven Data Knowledge Distillation in Digraph Representation Learning