Positive predictive value was higher with MELD Graph compared with existing baseline algorithm. HealthDay News — A graph neural network using data from the Multicenter Epilepsy Lesion Detection ...

In order to solve the above problems, we propose a seed expanded-aware graph neural network with iterative optimization for semi-supervised entity alignment, named SE-GNN. First, we utilize the ...

Code for paper: Lei Deng et al. "Graph-Tensor Neural Networks for Network Traffic Data Imputation," IEEE/ACM Transactions on Networking, 2023. generating_data.m: Abilene dataset (with size ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey 08854, United ...

Impact Statement: The Lorentz-Equivariant Quantum Graph Neural Network (Lorentz-EQGNN) presented in this study offers a significant leap in quantum machine learning for high-energy physics (HEP) ...

Now, new research from Anthropic is exposing at least some of the inner neural network "circuitry" that helps an LLM decide ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more ...

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more ...

High-speed storage that could shake up the enterprise market The RDK's high-speed performance provides a 25% improvement in ...

Research shows UV radiation modifies 3D genome structure, affecting DNA damage response and gene activity, offering insights ...