Abstract: Graph convolutional networks (GCNs) are potentially short of the ability to learn hierarchical representation for graph embedding, which holds them back in the graph classification task.

This repository stores the code examples of the PieChart component for the Getting Started with PieChart tutorial. The PieChart UI component visualizes data as a circle divided into portions (slices) ...

Provides a list of externally configurable properties pertaining to the partner SDK that can be retrieved and set by publishers. Dependencies for the adapter are now ...

In this week's The Contenders, the rap hitmaker's semi-surprise release What Happened to the Streets could challenge for the top spot. By Andrew Unterberger The Contenders is a midweek column that ...

Dive into a detailed VFX breakdown inspired by Lil Uzi’s “Relevant” and learn how to recreate the standout effects in After Effects. This tutorial walks through the techniques, layers, and workflows ...

Abstract: In this paper, we consider the problem of representing and recovering graph signals with a nonlinear measurement model. We propose a two-stage graph signal processing (GSP) framework. First, ...