I am in the process of looking at the GraphWaveNet model and its output information. I am trying to use Captum's integrated gradient analysis to understand each feature's attribute weight on nodes.

Abstract: Given an action sequence of a source object, the deformation transfer (DT) generates similar action sequence for a target object. Usually, the 3D shape model of an object is stored as a mesh ...

Noticed a problem while taking a look at the examples in this repository. It's barely noticeable, but there is a mistake in the “Ordinal Data” example. In this example the line color gradient was ...

Financial data analysis plays a critical role in the decision-making processes of analysts and investors. The ability to extract relevant insights from unstructured text, such as earnings call ...

As enterprises continue to navigate the complexities of digital transformation, connected data is becoming an increasingly common necessity. Connected data is when data assets are linked together to ...

Abstract: In the graph signal processing (GSP) literature, graph Laplacian regularizer (GLR) was used for signal restoration to promote piecewise smooth / constant reconstruction with respect to an ...