Area of research
Artificial Intelligence · Statistical and Nonlinear Physics
Research interest
Research interests include Computer science, Foundation (evidence), Graph, Artificial intelligence, Recommender system, and Theoretical computer science.
Sustainable collaborative planning of green hydrogen refueling networks in urban agglomerations: A three-stage framework integrating geospatial explicit screening, fuzzy MCDM, and stochastic optimization
Graph Foundation Models: Concepts, Opportunities and Challenges
Benchmarking Graph Foundation Models
Tool Learning with Foundation Models
Human Umbilical Cord Mesenchymal Stromal Cell-Derived Extracellular Vesicles Induce Fetal Wound Healing Features Revealed by Single-Cell RNA Sequencing
Lecture-style Tutorial: Towards Graph Foundation Models
TKMBR: Temporal Knowledge Graph-based Multi-Behavior Recommendation for E-commerce
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
Payment behavior prediction on shared parking lots with TR-GCN