A new graph-based framework for brain tumor segmentation has been developed, addressing the common issue of missing MRI modalities by using virtual nodes to enhance model robustness. This approach shows significant performance improvements over existing methods in handling incomplete modality scenarios, as demonstrated in extensive experiments on benchmark datasets.