Graph Partitioning Application Overview This Java application provides a graphical user interface (GUI) for partitioning an undirected graph into a specified number of parts using the Kernighan-Lin ...
Abstract: Graph convolutional networks (GCNs) are the most commonly used methods recently and have greatly pro-moted research on skeleton-based action recognition. Aggregating features guided by a ...
A feasible graph partition framework for random walks implemented by parallel computing in big graph
Abstract: Graph partition is a fundamental problem of parallel computing for big graph data. Many graph partition algorithms have been proposed to solve the problem in various applications, such as ...
This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs. Over the past 6 hours, it has been determined flaky in 4 workflow(s) with 8 failures ...
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