Graph Type

Graph type research focuses on developing and adapting models to effectively process diverse graph structures, ranging from static and temporal networks to those incorporating multimodal data like images and text. Current efforts concentrate on Graph Neural Networks (GNNs) and knowledge graph reasoning (KGR) methods tailored to specific graph properties, including the development of algorithms that can handle dynamic changes and integrate various data modalities. This research is crucial for advancing artificial intelligence applications across numerous domains, improving the analysis and understanding of complex relationships represented in graph data.