Abstract: Community detection is the problem of identifying natural divisions in networks. A relevant challenge in this problem is to find communities on rapidly evolving graphs. In this paper, we ...

Abstract: We focus on graph classification using a graph neural network (GNN) model that precomputes node features using a bank of neighborhood aggregation graph operators arranged in parallel. These ...

The new maps, which aim to flip five Democratic seats to favor Republicans, will go into effect for the 2026 midterms, barring court intervention. Sign up for The Brief, The Texas Tribune’s daily ...

If you drive a car built since 2018, a rearview camera came standard, but they actually started popping up as options on cars more than a decade before that. And while many early examples were ...

As a Loudoun County neighborhood awaits the State Corporation Commission’s decision on which path a new high-powered transmission line to feed power-hungry data centers may take, lawmakers are ...