Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Digital Production

Here comes Houdini 22

Houdini 22 adds KineFX, APEX rigging, Gaussian Splats, Karma updates, Solaris work, MCP and UI improvements for production artists.
IEEE

Torsion Graph Neural Networks

Abstract: Geometric deep learning (GDL) models have demonstrated a great potential for the analysis of non-Euclidian data. They are developed to incorporate the geometric and topological information ...
IEEE

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks

Abstract: Network data can be conveniently modeled as a graph signal, where data values are assigned to nodes of a graph that describes the underlying network topology. Successful learning from ...
GitHub

GitHub - dair-ai/GNNs-Recipe: A recipe to study Graph Neural Networks (GNNs)

Graph neural networks (GNNs) are rapidly advancing progress in ML for complex graph data applications. I've composed this concise recipe (i.e., studysheet) dedicated to students who are lookin to ...