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GitHub

Eigenvalue and eigenvector derivative examples

The repo contains code that implements two formulas (one using the adjoint method and the other using reverse algorithmic differentiation (RAD)) to efficiently ...
Simon Fraser University

Constructing the Graph of the Derivative of f(x)=sin(x)

Move the point T along the graph of y=sin(x) by moving the slider. The slope function (derivative) is then traced out in blue. Can you identify the graph of the derivative? This is a Java Applet ...
Oak Ridge National Lab

Derivative-based pre-training of graph neural networks for materials property predictions

While pre-training has transformed many fields in deep learning tremendously, its application to three-dimensional crystal structures and materials science remains limited and under-explored. In ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
IEEE

Targeted Discrepancy Attacks: Crafting Selective Adversarial Examples in Graph Neural Networks

Abstract: In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...