Graph Artificial Intelligence

Graph Artificial Intelligence (Graph AI) focuses on leveraging the power of graph structures to represent and analyze complex data, aiming to improve machine learning models' performance and interpretability. Current research emphasizes graph neural networks (GNNs), particularly in applications like medicine and edge computing, with a focus on multimodal learning and techniques to enhance model generalizability and interpretability. This field is significant because it allows for the analysis of relational data, leading to advancements in various domains, including improved medical diagnoses and more efficient edge network management.