Over 900 researchers and mathematicians have urged the University Grants Commission (UGC) to withdraw the draft undergraduate ...

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 ...

Abstract: We present a method for solving systems of polynomial equations appearing in computer vision. This method is based on polynomial eigenvalue solvers and is more straightforward and easier to ...

We propose a novel score-based generative model for graphs that overcomes the limitation of previous generative methods, by introducing a diffusion process for graphs that can generate node features ...

Welcome to the official code repository for SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter, accepted at ICML 2024. For immediate queries or further information, please open ...

In January I wrote a piece titled “ 5 Physics Equations Everyone Should Know .” Lots of you weighed in with your own ...

One powerful way to do this is through a routine called slow reveal graphs.

The Artificial Intelligence chatbot, ChatGPT, appeared to improvise ideas and make mistakes like a student in a study that ...

The Cabot Professor of Mathematics sat down with Fifteen Minutes to discuss life lessons from mathematics, the challenges of ...

In 1971, German mathematicians Schönhage and Strassen predicted a faster algorithm for multiplying large numbers, but it ...

Developed during ten years of teaching experience, this book serves as a set of lecture notes for an introductory course on numerical computation, at the senior undergraduate level. These notes ...