Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...

Going into the third play of the game, Vanderbilt had Iowa pinned back on its own 31-yard line with a third down and seven. The Commodores got pressure on Iowa quarterback Mark Gronowski as Vanderbilt ...

Abstract: Recently, there has been increasing interest in developing and deploying deep graph learning algorithms for various tasks, such as fraud detection and recommender systems. However, there is ...

Willow Wilson is a transgender woman in her mid-20s. She spoke about the role – no pun intended – that Dungeons & Dragons has played in her transition. Alphabet Soup shares LGBTQ+ Missourians’ stories ...

Ali Shiri does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

i have encountered an issue with react-native-chart-kit when rendering multiple datasets that include null values at the beginning or end. This leads to an unintended line being drawn between the ...

Proceedings of The Eighth Annual Conference on Machine Learning and Systems Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their ...

On the CMeEE dataset, GPT-4.0 achieved an F1-score of 65.42 using few-shot learning, surpassing traditional models such as BERT-CRF (62.11) and Med-BERT (60.66). Building upon this, we compiled a ...

Abstract: As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing ...

Close to 12,000 valid secrets that include API keys and passwords have been found in the Common Crawl dataset used for training multiple artificial intelligence models. The Common Crawl non-profit ...