From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness
Read the original at arxiv.org→arXiv:2609.31656v1 Announce Type: new Abstract: Data quality is a major bottleneck for the reliable deployment of graph neural networks (GNNs) in real-world graph mining tasks. Among various sources of degradation,...
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- Sep 29, 04:00 UTC arXiv cs.LG lead source From Phase Transition to Systemic Failure: A Decoupled Analytics Framework for GNN Robustness