2026
Heterogeneous Graph Neural Networks for Assumption-Based Argumentation
AAAI 2026technical
Assumption‐Based Argumentation (ABA) is a powerful structured argumentation formalism, but exact computation of extensions under stable semantics is intractable for large frameworks. We present the first Graph Neural Network (GNN) approach to approximate credulous acceptance in ABA. To leverage GNN