Explicit Multimodal Graph Modeling for Human-Object Interaction Detection

A new study introduces a mesh-adaptive hypergraph neural network designed to model unsteady fluid flow around oscillating and rotating structures, extending the application of graph neural networks in fluid dynamics. This innovative approach allows part of the mesh to co-rotate with the structure while maintaining a static portion, facilitating better information interpolation across the network layers.