The paper proposes NCwR-Cost and NCwR-Cov, two ways to let GAT node classifiers abstain, and reports higher accuracy on accepted nodes than softmax-threshold and CF-GNN baselines across four datasets.
A survey on legal judgment prediction: Datasets, metrics, models and challenges
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Node Classification With Integrated Reject Option
The paper proposes NCwR-Cost and NCwR-Cov, two ways to let GAT node classifiers abstain, and reports higher accuracy on accepted nodes than softmax-threshold and CF-GNN baselines across four datasets.