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 ...
High-Quality Dataset-Sharing and Trade Based on a Performance-Oriented Directed Graph Neural Network
Abstract: The advancement of Artificial Intelligence (AI) models heavily relies on large high-quality datasets. However, in advanced manufacturing, collecting such data is time-consuming and ...
Freight Right Global Logistics reports transpacific shipping rates drop ahead of Chinese New Year, anticipating a quiet market due to geopolitical tensions and seasonal closures.
COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...
In a historic advancement, LTEOIL, in collaboration with Texas A&M announces a world first: Direct Synthesis of Monolayer Graphene Oxide (GO) from Natural Gas We are thrilled to play a leading role in ...
There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
Introduction: Voxel hierarchy on dynamic brain graphs is produced by k-core percolation on functional dynamic amplitude correlation of resting-state fMRI. Methods: Directed graphs and their ...
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