VCs Say Context Graphs Might Be The Next Big Thing In AI

Enterprise software has accumulated forty years of data about business outcomes. It has captured almost none of the reasoning ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
IEEE

Graph Structure of Chebyshev Permutation Polynomials Over Ring ℤ p k

Abstract: Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the ...