Structural Generalizability: The Case of Similarity Search
Summary: Defines structural generalizability for graph ML, focusing on similarity search. Proposes a generalizable similarity search algorithm, simplified to light user guidance; experiments show effectiveness across structures and better efficiency than baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yodsawalai Chodpathumwan
- 2. Arash Termehchy
- 3. Stephen A. Ramsey
- 4. Aayam Shresta
- 5. Amy Glen
- 6. Zheng Liu
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