Abstract: This paper presents FUNDED (Flow-sensitive vUl-Nerability coDE Detection), a novel learning framework for building vulnerability detection models. Funded leverages the advances in graph ...
Worried that AI might replace you? Check out this graph from Anthropic showing the jobs most at risk
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 ...
DPABINet, a sophisticated enhancement of the DPABI software suite, streamlines the intricate analysis of brain networks through fMRI data, providing researchers of all expertise levels with ...
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 ...
In terms of seizure prediction, how to fully mine relational data information among multiple channels of epileptic EEG? This is a scientific research subject worthy of further exploration. Recently, ...
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 ...
Friedrich-Alexander-University Erlangen-Nuremberg, Chair of Reliable Circuits and Systems Paul-Gordan, Erlangen, Germany. There are various methods in the circuit technology to ca1culate transfer ...
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