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Found 2 papers, 1 papers with code
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching
It takes advantage of MatchExplainer to fix the most informative portion of the graph and merely operates graph augmentations on the rest less informative part.
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
To incorporate conformational knowledge to PTPMs, we propose an interaction-conformation prompt (IC prompt) that is learned through back-propagation with the protein-protein interaction task.
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