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Learning Library Cell Representations in Vector Space
- Lib2Vec is a self-supervised framework for learning vector representations of library cells.
- The framework includes regularity tests, self-supervised learning, and an attention-based model architecture.
- Experimental results show that Lib2Vec captures functional and electrical similarities.
- Lib2Vec improves circuit learning applications, especially with limited labeled data.
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