Plus, Canopy announces Canopy Close Automation in open beta; MYCPE ONE rolls out managed cybersecurity services for ...
But graphene doesn’t have a band gap—the energy gap in some solids that allows them to function as semiconductors. In ...
You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Anthropic economists say that AI use is far from reaching its full potential to disrupt the labor ...
If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...
Steven Lisberger's 1982 sci-fi film "Tron" was a special effects bonanza that was disqualified for the Best Visual Effects Oscar the year it came out, as the Academy felt that employing computers to ...
Online learning systems 1 and intelligent tutoring systems 2 have progressed significantly in recent years. Higher educational institutions started incorporating online learning systems into courses.
Abstract: Graph neural networks (GNNs) rely heavily on graph structures and artificial hyperparameters, which may increase computation and affect performance. Most GNNs use original graphs, but the ...
The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...
Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other ...
Abstract: This paper proposes a graph computing based mixed integer programming (MIP) framework for solving the security constrained unit commitment (SCUC) problem in hydro-thermal power systems ...
Deciding whether two graphs are structurally identical, or isomorphic, is a classical algorithmic problem that has been studied since the early days of computing. Applications span a broad field of ...
This program provides the implementation of our graph transformer, named UGformer, as described in our paper, where we leverage the transformer self-attention network to learn graph representations in ...