(or similar variants) which focuses on sparse precision matrix estimation.
: Typically stands for Graph Representation Learning , a popular subfield of AI.
: If this was from a recent conference cycle, searching the OpenReview database for these keywords may reveal the paper title and authors. SQRTG_GRL.7z
The archive likely contains the implementation for a paper such as:
: Look for papers uploaded around the same time you acquired the file, focusing on "Graph Representation Learning" and "Square Root" loss functions. (or similar variants) which focuses on sparse precision
: Likely refers to Square Root Graphical models or Square Root Lasso techniques applied to graphs.
A specific submission to a conference like , where authors often share code via anonymous links (e.g., Google Drive or Dropbox) during the double-blind review process. Common places to find the corresponding paper: The archive likely contains the implementation for a
: Search for "SQRTG" or "GRL" in repositories to find the source code.
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