Shilong Lin

Enhanced Graph Similarity Learning via Adaptive Multi-scale Feature Fusion

Graph similarity computation plays a crucial role in a variety of fields such as chemical molecular structure comparison, social network analysis and code clone detection. However, due to inadequate feature representation, existing methods often struggle to cope with complex graph structures, which