GraSP, a GNN architecture using positional encodings, gated residual convolutions, and multi-scale pooling, predicts graph edit distance and maximum common subgraph size more accurately and faster than ten baselines on four benchmark datasets.
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GraSP: Simple yet Effective Graph Similarity Predictions
GraSP, a GNN architecture using positional encodings, gated residual convolutions, and multi-scale pooling, predicts graph edit distance and maximum common subgraph size more accurately and faster than ten baselines on four benchmark datasets.