Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
A frustrated climate scientist decided to compile a list of the most powerful evidence we have that Earth is getting hotter in a bid to disprove common misconceptions — and his case is overwhelming.
Graphs and data visualizations are all around us—charting our steps, our election results, our favorite sports teams’ stats, and trends across our world. But too often, people glance at a graph ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1 Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including ...
Abstract: This letter focuses on the pilot assignment problem in scalable cell-free systems and proposes a graph partitioning based scheme to improve the user fairness. Specifically, a novel metric to ...
I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. Jul 03, 2025, 10:43am EDT Business 3d tablet virtual growth ...
Students are resorting to extreme measures to fend off accusations of cheating, including hourslong screen recordings of their homework sessions. By Callie Holtermann A few weeks into her sophomore ...
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