Hierarchical Interaction

Hierarchical interaction research focuses on modeling and understanding complex systems where interactions occur at multiple levels, from local to global scales. Current efforts concentrate on developing novel neural network architectures, such as hierarchical transformers and graph neural networks, to capture these intricate relationships within diverse data types, including images, videos, and biological networks. This work is significant for improving the accuracy of predictions in various fields, ranging from medical image analysis and protein structure prediction to the optimization of configurable software systems, ultimately leading to more efficient and effective solutions.