Abstract: We investigate Laplacian shift operators for directed acyclic graphs (DAGs). In a DAG, the adjacency matrix is nilpotent, yielding an all-zero eigenvalue spectrum that makes adjacency-based ...

From his earliest gaming memories playing Spyro 2 on the PlayStation, to being obsessed with the swing-out animations in Marvel's Spider-Man, Cameron has always been, and continues to be, in love with ...

Abstract: This paper introduces a novel Laplacian matrix aiming to enable the construction of spectral convolutional networks and to extend the signal processing applications for directed graphs. Our ...

Accurate molecular property prediction is fundamental to modern drug discovery and materials design. However, prevailing computational methods are often insufficient, as they rely on ...

Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...

Apple TV+ has officially kicked off production on Neuromancer, the long-awaited adaptation of William Gibson’s iconic 1984 sci-fi novel. The cryptic teaser reveals little—just the glowing neon sign ...

Directed by avant-garde artist Robert Longo from a fast-track budget aimed at capitalizing on Reeves’ breakout success in Speed, Johnny Mnemonic makes what’s essentially an action movie out of a more ...

Erick Massoto is a Brazilian writer who's always loved film and TV and loves finding connections between them. That's why he supports double features, especially if they are of a modern film paired ...

Directed graphs are crucial in modeling complex real-world systems, from gene regulatory networks and flow networks to stochastic processes and graph metanetworks. Representing these directed graphs ...