Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion

In three linesNew K-Hop Gaussian (KHG) diffusion method to enhance GNNs. KHG preprocesses graph data with multi-hop diffusion weighted by Gaussian, balancing local and global propagation. Outperforms standard message-passing, PPR, and Heat Kernel on benchmarks, especially on noisy graphs.

Summary generated by Claude — human-verified