GNN-Oversquashing-Oversmoothing-Risk-Dataset

Simulates two documented GNN failure modes and the trade-off between them: curvature-based graph rewiring relieves oversquashing but is formally shown to worsen oversmoothing (increased connectivity → more mixing), modeled explicitly rather than as a strict improvement. 648 configs across 6 architectures, 3 topologies, 3 heterophily levels. Ten sources (2019-2023) including Alon & Yahav's foundational bottleneck paper, Topping et al.'s curvature/rewiring method, Oono & Suzuki's oversmoothing proof, and a paper directly formalizing the trade-off.