Abstract: Network controllability robustness refers to the ability of networks to maintain controllability in the face of various attacks, which is typically determined by recording a series of ...
The tech giant says a breakthrough in data center networking has dramatically accelerated the flow of information through its massive cloud infrastructure. The new technology hinges on a “quasi-random ...
Accurate liquid-level monitoring is vital for the safe operation of Liquefied Petroleum Gas (LPG) carriers. Conventional radar gauges are expensive and vulnerable to performance degradation under ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Abstract: Graph transformers are a recent advancement in machine learning, offering a new class of neural network models for graph-structured data. The synergy between transformers and graph learning ...
Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive ...
Graph Transformers combine the powerful attention mechanisms of transformers with the structural awareness of graph neural networks. Unlike traditional GNNs that are limited to local neighborhoods, ...
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