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The AIA/Deltek Architecture Billings Index® (ABI) score for the month declined to 43.8 from 47.1 last month, indicating that more firms saw a decline in billings in January than in December. In ...
Graph convolutional network (GCN) has been successfully applied to many graph-based applications; however, training a large-scale GCN remains challenging. Current SGD-based algorithms suffer from ...
Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...
The company promises that its AI copilot, Joule, will support 80% of its most-used business tasks by year end. SAP’s promised collaboration between its AI copilot, Joule, and other agents will become ...
The history of 'knowledge graphs' that are the basis of artificial intelligence and machine learning
The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...
This study presents a useful deep learning-based inter-protein contact prediction method named PLMGraph-Inter which combines protein language models and geometric graphs. The evidence supporting the ...
Abstract: Under factor graph-based visual-inertial odometry (VIO), is usually used to limit the continuously increasing numbers of nodes (states) and edges (observations). However, this approach will ...
The fast and robust identification of fault elements is essential for the security and continuous operation of the power grid. The existing methods might be maloperation for bad data disturbance and ...
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