Microsoft

A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator

This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...
IEEE

Maximum Likelihood Estimation for Line Parameters in Distribution Grids Based on Expectation Maximization Algorithm

Abstract: This paper proposes a method for obtaining nonlinear models of distribution grid based on available measurements from the power grid. We formulate a maximum likelihood estimation (MLE) ...
IEEE

Research on Social Network Influence Maximization Algorithm Based on Graph Neural Network

Abstract: In this paper, we propose an innovative Graph Neural Network (GNN) model that combines PageRank, genetic algorithm, and Graph Convolutional neural Network (GCN) to solve the problem of ...
MIT Technology Review

Why it’s time to reset our expectations for AI

The hype we have been sold for the past few years has been overwhelming. Hype Correction is the antidote. Can I ask you a question: How do you feel about AI right now? Are you still excited? When you ...