Zehua Jia

McGcn: Learning Continuous Graph Dynamics for Multi-Channel Fusion

Multi-channel data fusion is essential for capturing comprehensive representations in complex systems. While graph convolutional networks have demonstrated remarkable efficacy, existing fusion paradigms primarily rely on discrete architectures governed by first-order propagation. These models are ty