A graph neural network using data from the Multicenter Epilepsy Lesion Detection (MELD) Project (MELD Graph) can detect ...

To solve abovementioned problems, a novel deep learning based spatio-temporal graph convolutional neural network (STGCN) is developed for intelligent fault diagnosis of wind turbines in this paper.

which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by Graph Neural Networks (GNNs), to tackle the GCP. Our model, referred to as RLTB, integrates a ...

BlockBeats 消息，3 月 21 日，Pundi AI 宣布与 Conflux Network 建立战略合作，计划将其 AI 数据解决方案集成到 Conflux 的 Tree-Graph 区块链架构中，以提升去中心化 AI 应用的性能。Conflux 采用 PoW 和 PoS 结合的共识机制，支持高达 3000-6000 TPS 的交易速度，同时保持区块链的安全性。此次合作将重点整合 Pu ...

Businesses concerned about the cost of add-on components and upgrades can rest easy with Paessler’s PRTG Network Monitor as ...

By The Learning Network The founder of the Women’s National Football Conference, and a hall of fame running back herself, says yes. What do you think? By Natalie Proulx We invite students to ...

Lynx Analytics, a member of the NVIDIA Inception program for startups, today announced the launch of LynxKite 2000:MM, the most advanced version of its Graph AI platform. Designed to accelerate Graph ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...

Pi Network price has imploded this month, erasing most of the gains it made in February after the much anticipated mainnet ...