Abstract: This article presents a weighted least squares (WLS) method based on the generalized Laguerre polynomial (GLP) for designing graph filters capable of processing irregular data collected from ...

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

Learn how Google AI Studio simplifies research, enhances collaboration, and unlocks new possibilities for professionals and academics in 2025 ...

“It’s almost impressive how incorrect he’s able to be about an article he’s looking directly at," one expert said. reading time 3 minutes Podcaster and former UFC commentator Joe Rogan isn’t exactly ...

The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

Murray Grimwood says we are headed for a global one-off readjustment of life as we know it that will be of epic proportions - unless we respect basic physical laws ...

Abstract: A large amount of valuable information resides in a decentralized attributed social graph, where each user locally maintains a limited view of the graph. However, there exists a conflicting ...

GitHub displays commits in the contribution history graph. Contribution pushes a bunch of commits with a custom date using git commit --date <date>. It bundles multiple commits on a single day to ...

Grandville’s elementary school leaders are excited about their new tool for teaching math, called Illustrative Mathematics.

This is our Tensorflow implementation for the paper: Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, and Tat-Seng Chua (2019). Neural Graph Collaborative Filtering, Paper in ACM DL or Paper in arXiv.