Subsequent works also studied computing other graph sparsifiers using linear sketching, and obtained near-linear upper bounds for spectral sparsifiers [Kapralov-Lee-Musco-Musco-Sidford, FOCS’14] and ...

These passages test a candidate’s ability to understand complex information, identify key ideas, draw inferences ... Data Interpretation Stock price-based candlestick graph for 7 stocks 4 3 MCQ, 1 ...

Get article recommendations from ACS based on references in your Mendeley library. Pair your accounts.

3. Graph Neural Networks GNNs have a broad range of uses in various domains due to the prevalence of graph-structured data, where the lack of an Euclidean structure makes it challenging to use DNNs in ...

Title Quadratic zero-difference balanced functions, APN functions and strongly regular graphs ...

Department of Chemistry, Duke University, Durham, North Carolina27708, United States ...