Researchers backed by IBM have published results showing that a specific class of quantum error-correcting codes can protect ...
Abstract: Graph Convolutional Networks (GCNs) are powerful models for learning representations of entities and their relationships across diverse domains. Classical GCNs are built on the homophily ...
Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...
Introductory problem used to familiarise with the judge's I/O format. Given a list of numbers, count the even numbers and compute their sum. Sort a stack of pancakes using only flip operations ...