We propose a novel model ``MoE-ization'' strategy using SVD, which leads to a conflict- and oblivion-resistant multi-task adaptation method.

We design orthogonalization to eliminate redundancy between different-order Common Neighbors and normalization to mitigate over-smoothing for link prediction..