GCB maps text-attributed graphs to a concept subspace of meaningful phrases, refined by information bottleneck, for intrinsic interpretability with GNN-level accuracy and better robustness.
GraphML refers to the graph markup language used for describing the graph (or ego-net if the instance is a node)
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Exploring Concept Subspace for Self-explainable Text-Attributed Graph Learning
GCB maps text-attributed graphs to a concept subspace of meaningful phrases, refined by information bottleneck, for intrinsic interpretability with GNN-level accuracy and better robustness.