Abstract: This paper studies stability analysis using graph methods for electricity distribution networks. The spanning tree approach is used for modeling the grid in terms of graph nodes that ...

Abstract: Explainability is crucial for the deployment of Graph Neural Networks (GNNs) in real-world applications. Unfortunately, existing explanation methods primarily focus on identifying important ...

FISHnet is graph theory method to detect chromatin domains and boundaries in pairwise distance matrices from sequential Oligopaints data. FISHnet uses various distance thresholds as a resolution ...

Traffic flow prediction is a critical task for modern Intelligent Transportation Systems (ITS). Most existing Graph Convolutional Networks (GCNs) rely on predefined or static adjacency matrices, ...

Arthur Busch received his B.A. in 1997 from the University of Washington, and worked as a programmer in the investment and oil and gas industry in Denver. He received his Ph.D. in 2005 from the ...

Oracle's current P/E ratio of 75x is 143% above its five-year average, signaling overvaluation. Click here to find out why ...

These problems directly impact the implementation effectiveness of multi-agent systems and require systematic solutions through architectural innovation and technological breakthroughs. Therefore, ...

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IIT Guwahati has released the GATE 2026 Syllabus for Computer Science & Information Technology (CS&IT) along with the ...

IIT Guwahati has released the GATE ECE Syllabus for Electronics and Communication Engineering with the official brochure. Get ...

It began with a desire to answer customer questions and a dream to help them complete tedious tasks more efficiently. Accounting services provider Xero began slowly and started small when envisioning ...