Abstract: Knowledge graphs (KGs) have been widely adopted to mitigate data sparsity and address cold-start issues in recommender systems. While existing KGs-based recommendation methods can predict ...
MbrAIn is being powered by Madison’s Growth Planning System that has been built specifically for the heterogenous marketing ...
Abstract: Navigating materials performance databases efficiently is a persistent challenge in materials science and engineering, particularly in the selection of alloy materials. While recommendation ...
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 ...
"about" : "Visualizes the percent of files or lines of code by language.", "id" : "gc_code_language" "name" : "Package Version Updates", "about" : "Visualizes for ...
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