Academic theory recommends very low investment risk near retirement, contrasting sharply with current target date fund (TDF) ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Transformer on MSNOpinion
Against the METR graph
METR’s benchmark has become a bellwether of AI capability growth, but its design isn’t up to the task, argues Nathan Witkin ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections – from gene functions and disease mechanisms ...
Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...
Abstract: In graph signal processing (GSP), an appropriate underlying graph encodes pairwise (anti-)correlations of targeted discrete signals as edge weights. However, existing fast graph sampling ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...
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