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 ...
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 ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
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 ...
Chegg Inc. (NYSE:CHGG) is a United States–based education technology company whose evolution into a digital learning platform ...
The Sunday People saw year-on-year print circulation decline of more than a quarter for the second month in a row, according to the latest ABC figures. The Reach tabloid was down by 25.2% year on year ...
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