To address these issues, this study proposes a fusion-decomposition pan-sharpening model based on interactive learning of representation graphs. This model considers both the compression process from ...

This approach not only enriches the understanding of edge colorings but also has implications for the Linear Arboricity Conjecture, which deals with the decomposition of graphs into trees.

Graph factorization is a significant area of study in graph theory, focusing on the decomposition of graphs into specific substructures, known as factors. These factors can take various forms ...

Question Decomposition Meaning Representation, and Optimization by Prompting. We evaluate these six prompting methods on the newly created Spider4SPARQL benchmark, as it is the most complex ...

In 1925, Gandhi attended the Kumbh Mela to meet Swami Shraddhanand in Haridwar, observing corruption and unsanitary conditions. He reflected on the concept of faith, noting the dedication of ...

The Graph price prediction anticipates a high of $0.419 by the end of 2025. In 2028, it will range between $0.978 and $1.12, with an average price of $1.05. In 2031, it will range between $1.68 and $1 ...

-By Stuti Malhotra The passing of Manmohan Singh, India’s former prime minister and the architect of the nation’s economic transformation, was marked by a deeply symbolic act: his daughter ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

This is a TensorFlow implementation of Graph Convolutional Networks for the task of (semi-supervised) classification of nodes in a graph, as described in our paper: Thomas N. Kipf, Max Welling, ...

balanced trees, low-diameter graph decomposition, connectivity and biconnectivity, maximal-independent sets, strongly-connected components, graph spanners, set cover, convex-hulls, closest pairs, and ...