Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Explore major math functions like sine, cosine, and tangent! Learn to graph trigonometric functions and understand key ...

The Swedish government is preparing significant tightening of penalties for tachograph manipulation and abuses related to driver cards. The new regulations aim to enhance road safety, improve driver ...

Software-Defined Networking (SDN) improves network flexibility by decoupling control functions (control plane) from forwarding devices (data plane). However, the logically centralized control plane is ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

One such function is the Voxel Pooling operation found in the BEVdepth network. (Available on Megvii’s public Github repo.) A trusty AI search engine describes Voxel Pooling as: “a technique where 3D ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Words can certainly hurt—but so can the absence of them. If you’ve ever had a partner pretend you don’t exist mid-argument or stop talking until you take all the blame, you understand what we’re ...