Abstract: Graph learning methods have achieved remarkable performance in various domains such as social recommendation, financial fraud detection, and so on. In real applications, the underlying graph ...
ATLANTA, GA, UNITED STATES, January 14, 2026 /EINPresswire.com/ -- The Open Applications Group (OAGi) announces the ...
Abstract: Graph Neural Networks (GNNs) have been gaining more attention due to their excellent performance in modeling various graph-structured data. However, most of the current GNNs only consider ...
A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...
This repository contains the official code for our MICCAI 2025 paper, “Semantically Consistent Discrete Diffusion for 3D Biological Graph Generation.” We introduce a discrete diffusion framework that ...
Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
AI product manager, Jyothi Nookula, explores how organizations can democratize AI product skills to foster innovation across ...
Ian says AI is starting to behave more like a coworker. And it turns out researchers have been tracking the reason why this ...
Soldiers were encouraged to wash their feet regularly and often had their feet inspected. On the Western Front, the war was fought by soldiers in trenches. Trenches were long, narrow ditches dug into ...
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