Amazon.com, Inc. analysis: $230/share fair value as AWS profits and retail automation drive margin gains. Click for this ...

There is no longer a proliferation of places that were once called “employment blackspots”. However, Cominetti cautions that ...

While the outputs of large language models (LLMs) appear coherent and useful, the underlying mechanisms guiding these behaviors remain largely unknown. As these models are increasingly deployed in ...

This educational film teaches viewers how to construct mathematical line graphs to solve algebraic problems. It begins by reviewing statistical graphs and then explains the relationship between ...

Abstract: In chemical science research progress, reading other researcher research paper in same type area, will speed up the generation of their own research method. Researchers want to automate the ...

[27/11/2024] Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning (Xinyi Gao et al. Arxiv'24) [05/09/2024] GSTAM: Efficient Graph Distillation with Structural ...

Scene Graph Generation (SGG) is a challenging task of detecting objects and predicting relationships between objects. After DETR was developed, one-stage SGG models based on a one-stage object ...

A line graph is an essential tool for displaying data trends over time, and it’s a great way to visualize information for comparison purposes. With just eight simple steps, anyone can create a clear ...

Graph paper is a common type of paper used in educational and scientific fields. Its grid-like design makes it easy to represent data and numbers, which is why it’s so popular among mathematicians, ...

Abstract: Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning.