Generative large language models (LLMs) have shown great success in vari...
Learning multi-agent system dynamics has been extensively studied for va...
Knowledge graph embeddings (KGE) have been extensively studied to embed
...
Graph neural networks (GNNs) are emerging for machine learning research ...
Multi-agent dynamical systems refer to scenarios where multiple units
in...
Pandemic(epidemic) modeling, aiming at disease spreading analysis, has a...
Predicting missing facts in a knowledge graph (KG) is crucial as modern ...
Community smells appear in sub-optimal software development community
st...
Many real-world systems, such as moving planets, can be considered as
mu...