This repository contains code for Graph Neural ODE++. This work was completed as part of CPSC 483: Deep Learning on Graph-Structured Data. We propose Graph Neural ODE++, an improved paradigm for Graph ...

Understand the merits of large language models vs. small language models, and why knowledge graphs are the missing piece in ...

We propose a novel score-based generative model for graphs that overcomes the limitation of previous generative methods, by introducing a diffusion process for graphs that can generate node features ...

An expert’s journey to implementing best process control via instrumentation, control strategies and PID control ...

Whether you're an artist, advertising specialist, or just looking to spruce up your home, turning everyday objects into dynamic displays is a great way to make them more visually engaging. For example ...

Title A Unified Graph-Theoretic Approach to Formulating Multibody Dynamics Equations in Absolute or Joint Coordinates ...

Abstract: The objective of this paper is to propose a generic state-space equation representation of transmission lines, based on the π circuit, for the study and analysis of electromagnetic ...

A growing number of AI processors are being designed around specific workloads rather than standardized benchmarks, ...

Every decade or so, perhaps during a global pandemic, it's common to see news reports about pastors leaving pulpits in search ...

The answer is yes. our favorites are the ones that come to us. and say, Oh my God, you're my favorite. and then they start ...

From technical depth to communication, problem-solving, and adaptability, this guide shows the hard and soft skills that ...

I spent almost two years after I left the Cyber Protection Brigade working on training. Not traditional military training ...