Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
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Cracking the code of online communities
From Facebook friend circles to hidden influencer groups, community detection in social networks is evolving fast. Researchers are combining deep learning, graph neural networks, and advanced ...
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Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
Abstract: The application of graph convolutional networks (GCNs) in the field of graph clustering has achieved remarkable results. However, there still exist certain limitations. Multiview ...
Our Structure from Motion approach, named Graph Structure from Motion (GraphSfM), is aimed at large scale 3D reconstruction. Besides, we aimed at exploring the computation ability of computer and ...
The increasing complexity of Internet of Things and modern battlefield electromagnetic environments poses significant challenges to radiation source localization, especially under electronic ...
ABSTRACT: Conceptualizing relationships along a continuum—from social capital (empathy) to indifference, and from indifference to negative social capital (antipathy)—offers a valuable framework for ...
Abstract: Most clustering algorithms require setting one or more parameters, which rely on prior knowledge or are constantly adjusted based on external indicators. To address the issues of requiring ...
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