Abstract: In this article, we study a multirobot stochastic patrolling problem by employing graph partitioning techniques, where each robot adopts a Markov-chain-based strategy over its assigned ...
Abstract: Attributed graph clustering aims to partition nodes of a graph structure into different groups. Recent works usually use variational graph autoencoder (VGAE) to make the node representations ...
A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work to comprehensively and systematically summarize the recent ...
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