Abstract: Machine learning (ML) has the potential to revolutionize electronic design automation (EDA), but mainly lacks the scalable and adequate representation of electric circuits, and requires ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

Abstract: With growing demands for data privacy and model robustness, graph unlearning (GU), which erases the influence of specific data on trained GNN models, has gained significant attention.

SVS Vamana — Combines the Vamana graph-based search algorithm, introduced by Subramanya et al., with Intel's LVQ and LeanVec compression. It uses a single-layer proximity graph (vs. HNSW’s multi-layer ...