They're cheaper to train and getting smarter, so why bother with their little sibling SLMs (small language models)? For any ...

Edges and nodes form the core elements of heterogeneous graphs (HGs). However, existing heterogeneous graph neural networks (HGNNS) largely rely on meta-paths to capture semantic information of nodes, ...

To deploy PyTorch models on Arm edge devices, you need to optimize the model, prepare the software, and use the right hardware. These steps help you deploy AI applications at the edge.

Rapid Access to Small Molecule Conformational Ensembles in Organic Solvents Enabled by Graph Neural Network-Based Implicit Solvent Model ...

Do you need to file an issue? I have searched the existing issues and this bug is not already filed. My model is hosted on OpenAI or Azure. If not, please look at the "model providers" issue and do ...

This paper proposes a multilayer graph model for community detection based on multiple observations. This scenario is common when different estimators are used to infer graph edges from signals at the ...