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This paper introduces $\textit{graph diffusion policy optimization}$ (GDPO), a novel approach to optimize graph diffusion models for arbitrary (e.g., non-differentiable) objectives using reinforcement ...

This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...

A linear equation is drawn as a straight line on a set of axes. To draw the graph we need coordinates. We generate these coordinates by substituting values into the linear equation. STEP 1 - Draw ...

With Excel, you can easily input your data into a spreadsheet and use its built-in chart options to select from various graph types, such as bar, line, and pie charts. The user-friendly interface ...

To break through these limitations, we first design a log semantic association mining approach to convert log sequences into Log-Entity Graph, and then propose a novel log anomaly detection model ...

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A seminal paper by John Nelder and Robert Wedderburn ... logistic regression appropriate for categorical responses; and log-linear models appropriate for discrete responses (counts).

Stay calm during market chaos with long-term investment opportunities like stable infrastructure and safe REITs with high ...

This valuable study presents a mouse gastruloid model that can be used to generate hematopoietic progenitors as well as leukemic cells. However, in its current form, the manuscript is inadequate ...