Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
Abstract: In computational pathology, graphs have shown to be promising for pathology image analysis. There exist various graph structures that can discover differing features of pathology images.
School of Computer Science and Artificial Intelligence, Wuhan Textile University, Wuhan, Hubei 430200, China ...
What the Script: Supply chain attacks are traditionally designed to inflict maximum damage on structured organizations or companies. However, when such an attack compromises a supply chain that an ...
(Maybe unnecessary) FunctionCtx appears in dynamo graph in the presence of custom autograd functions
FunctionCtx appears in dynamo graphs with custom autograd functions, but is immediately set to None (as far as I can tell, this happens every single time). @zou3519 mentioned that this is not expected ...
Abstract: Graph Neural Networks (GNNs) show great power in Knowledge Graph Completion (KGC) as they can handle non-Euclidean graph structures and do not depend on the specific shape or topology of the ...
Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...
This repo is a third party implementation of the FIGNet Learning Rigid Dynamics with Face Interaction Graph Networks[1], trying to reproduce the results from the original paper. The package also ...
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