Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...
The internet has upended how consumers engage with brands. It is transforming the economics of marketing and making obsolete many of the function’s traditional strategies and structures. For marketers ...
Abstract: For any linear and time-invariant system, its output is the linear convolution between the variable input sequence and the constant system impulse response. When the input is long and the ...
This project is built upon the engineering principles used by world-class audio players (such as Spotify, Apple Music, and Tidal). While the source code for these systems is proprietary, the physical ...
This repository contains the reprodicable implementation of our ACSAC 2025 paper DeepProv: Behavioral Characterization and Repair of Neural Networks via Inference Provenance Graph Analysis. DeepProv ...
When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google The shift towards digital photography in the early 2000s ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback