Graph Neural Networks (GNNs) and GraphRAG don’t “reason”—they navigate complex, open-world financial graphs with traceable, ...
Scientists have struggled to find effective, model-free methods to directly analyze causality relationships in neural ...
Abstract: Leveraging multimodal brain signals, such as electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS), for the objective detection of brain activity is regarded as a ...
A New York bagel? At the U.S. Open, Amanda Anisimova is not having it. Sen. Mitch McConnell warns: ‘This is the most dangerous period since before World War Two’ NASA Video Reveals What's Hidden ...
We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...
This is a 3-page paper, along with (if relevant) the source code of your project, including instructions on how to run it. You may use your midterm project as a foundation for your final project, ...
Abstract: Heterogeneous Graph Neural Networks (HGNNs) have attracted significant research attention in recent years due to their ability to capture complex interactions among various node types in ...
While everyone else is following the trends this summer, Rihanna’s busy bending them to her will. While out with her partner, A$AP Rocky, in Los Angeles yesterday ...
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