Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Abstract: Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration ...
Abstract: Graph learning has emerged as a promising technique for multi-view clustering due to its ability to learn a unified and robust graph from multiple views. However, existing graph learning ...
g2o is an open-source C++ framework for optimizing graph-based nonlinear error functions. g2o has been designed to be easily extensible to a wide range of problems ...
Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...
Existing studies on subtitle translation of animated film have mostly focused on language simplification and cultural adaptation, with insufficient attention paid to the systematic shifts and ...
This repository contains code released by Google Research. All datasets in this repository are released under the CC BY 4.0 International license, which can be found ...
Stray pets taken in since July 4 of this year include 54 dogs, 11 cats, 8 puppies, 23 kittens and one reptile.
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