People tend to flex their intelligence for a number of reasons, including deep-seated insecurities, asserting their identity, or fulfilling their need for validation. In the process, some of them do ...

Abstract: Graph convolutional networks (GCNs) are a widely used method for graph representation learning. To elucidate their capabilities and limitations for graph classification, we investigate their ...

For many of us, our first chance to experience the thrill of driving will have been behind the virtual wheel of an exotic supercar or extreme legendary rally car in one of our favourite racing games.

We define a distance of two graphs that reflects the closeness of both local and global properties. We also define convergence of a sequence of graphs, and show that a graph sequence is convergent if ...

As we begin 2026, the Internal Revenue Service (IRS) has released its updated retirement-plan contribution limits, adjusting key thresholds to keep pace with inflation and support Americans in ...

We introduce and develop a theory of limits for sequences of sparse graphs based on Lp graphons, which generalizes both the existing L1 theory of dense graph limits and its extension by Bollob as and ...

Abstract: Time series are the primary data type used to record dynamic system measurements and generated in great volume by both physical sensors and online processes (virtual sensors). Time series ...

Integrate the Microsoft Graph API into your .NET project! The Microsoft Graph .NET Core Client Library contains core classes and interfaces used by Microsoft.Graph Client Library to send native HTTP ...

This repository contains code for Talk like a Graph: Encoding Graphs for Large Language Models and Let Your Graph Do the Talking: Encoding Structured Data for LLMs. @inproceedigs{fatemi2024talk, ...

Many accounts of informed consent in medical ethics claim that it is valuable because it supports individual autonomy. Unfortunately there are many distinct conceptions of individual autonomy, and ...