Academic achievements include publications in IEEE TKDE (on GloDyNE) and Neurocomputing (regarding the OpenANE framework), along with other unspecified contributions.
Research Experience
Involved in multiple projects including but not limited to LICAP (Label Informed Contrastive Pre-training for Node Importance Estimation on Knowledge Graphs), PartPrompt, and GloDyNE (Global Topology Preserving Dynamic Network Embedding).
Education
Educational background involves the University of Birmingham and SUSTech, but specific details such as degree, advisor, and dates are not provided.
Background
Research interests: Large Language Models, Graph Neural Networks, Machine Learning, and related AI techniques to real-world problems.