tl;dr: We provably improve GNN expressivity by enhancing message passing with substructure encodings. Our method allows incorporating domain specific prior knowledge and can be used as a drop-in ...

Isabelle Dostaler does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: The nonlinear system design problem is investigated concerning with robust stability and output tracking problems for nonlinear perturbed feedback control systems using operator-based robust ...

Abstract: In this note, we consider the problem of privacy preservation in consensus for general linear multiagent systems (MASs), where the system matrices, input and state trajectories are all ...

For most websites, the homepage represents your brand’s first interaction with your audience on your website. As the catch-all landing page where people will be sent by default, your homepage needs to ...

Frequently Asked Question (FAQ) pages (or informational hubs) enable your business to respond, react, and anticipate the needs of your audience more quickly and appropriately than other types of ...

In addition to being one of the most fun words to say—and hardest to spell—in English, “onomatopoeia” probably calls to mind a whole bunch of silly, fun words. Onomatopoeia is the process of creating ...

Bullying is a form of aggressive, potentially violent behavior. Bullying can occur at school, online, in the workplace, or at home. It can also be grounded in prejudice. Bullying is an aggressive ...

A paper posted online in March 2023 has presented the first substantial progress in a half-century on one of the fundamental questions in the overlap between mathematics and computer science: how to ...

Microaggressions may create a hostile environment for people in historically marginalized groups — especially in the healthcare industry. Microinsults, microassaults, and microinvalidations are the ...

Over the past few years, graph neural networks and graph transformers have been successfully used to analyze graph-structured data, mainly focusing on node classification and link prediction tasks.