description [ICLR2026][Graph Learning][Knowledge Graph Augmentation] AtlasKV directly converts each triple in a knowledge graph (KG) into Q-K-V data for injection into LLMs via attention. By employing ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have emerged as a powerful tool in predicting molecular ...
Abstract: Positroids are a class of ordered matroids that can be represented by a real matrix with all non-negative maximal minors. These structures are surprisingly rich and have been studied in ...
Abstract: Concerning the consensus problem of a networked hyperbolic system of two linear conservation laws, this article proposes a boundary consensus protocol and establishes a theoretical framework ...
This study is devoted to the problem of proving some analog of maximum principle and its further application to the questions of uniqueness, existence, and regularity for weak solutions of the Goursat ...
Abstract: Knowledge graph completion is an essential task in the fields of graph mining and graph machine learning. Most contemporary approaches rely on geometric transformation to achieve knowledge ...
In his 1996 book, The Vision of the Anointed, economist Thomas Sowell sketched out a pattern that many of the "crusading movements" of the 20th century have followed. First, they identify a "great ...
Ground penetrating radar (GPR) is important for detecting shallow subsurface structures, which has been successfully used on the Earth, Moon, and Mars. It is difficult to analyze the underground ...
Using ideas borrowed from graph theory, two mathematicians have shown that extremely complex surfaces are easy to traverse. Last July, two mathematicians from Durham University, Will Hide and Michael ...
Science-based data-driven methods that can describe the rheological behavior of complex fluids can be transformative across many disciplines. Digital rheometer twins, which are developed here, can ...
Recent experiments in circuit quantum electrodynamics and electric circuit networks have demonstrated the coherent propagation of wave-like excitations on hyperbolic lattices. The negative curvature ...
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