This code repository is for the paper Exponential Graph is Provably Efficient for Decentralized Deep Training to be appeared in NeurIPS 2021. If you feel this work helps in your research, please ...

What is an Exponential Function? At its core, an exponential function describes a situation where the rate of growth is proportional to its current value. Imagine a snowball rolling down a hill, ...

Exponential growth or compound interest, investment, wealth or... Stock market growth bubble spike exponential growth background concept. Exponential function and linear function in a graph or chart ...

Recently, Apers and Piddock [TQC '23] strengthened the connection between quantum walks and electrical networks via Kirchhoff's Law and Ohm's Law. In this work, we develop a new multidimensional ...

Venture capital firms use a variety of accumulated resources to inform their investment activities, but do the rely solely on their own resources or do they employ other firms' resources to complement ...

Political Analysis, Vol. 19, No. 1 (Winter 2011), pp. 66-86 (21 pages) Methods for descriptive network analysis have reached statistical maturity and general acceptance across the social sciences in ...

Applying the exponential random graph model (Robins et al. 2007) to the investment data of Japanese venture capital (VC) firms, we document the relationship between VC performance and the dynamics of ...

Abstract: Graph signal processing (GSP) is a prominent framework for analyzing signals on non-Euclidean domains. The graph Fourier transform (GFT) uses the combinatorial graph Laplacian matrix to ...