A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.
Abstract: This article focuses on the event-based fully distributed state estimation problem under noisy environment and directed graphs. In a networked system, agents cooperatively estimate the ...
"Breaking the Sorting Barrier for Directed Single-Source Shortest Paths" by Ran Duan, Jiayi Mao, Xiao Mao, Xinkai Shu, and Longhui Yin (2025) Use the road_network_benchmark example to evaluate the ...
Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct ...
There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
Health and Human Services Secretary Robert F. Kennedy Jr. said Tuesday that his agency would no longer recommend the coronavirus vaccine for healthy pregnant women and healthy children — an ...
Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...
The original version of this story appeared in Quanta Magazine. Much of mathematics is driven by intuition, by a deep-rooted sense of what should be true. But sometimes instinct can lead a ...
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