Multimodal Graph Annotation is a scholarly contribution in the field of graph-based data representation that integrates and aligns heterogeneous modalities—such as text, image, audio, or sensor data—within a graph structure by assigning semantically meaningful, cross-modal annotations to nodes, edges, or subgraphs, thereby enabling joint reasoning and analysis across diverse data types.