Despite an uncanny attractiveness of the metaphor of the space of reason, we lack a unifying account of its explanatory power. In this talk, I present a logical sequencing model that treats rational ...

Abstract: Hypergraph neural networks (HGNNs) effectively model complex high-order relationships in domains like protein interactions and social networks by connecting multiple vertices through ...

FinD3 implements a Dual 3D State Space model augmented with a dynamic hypergraph for financial stock prediction. This repo provides the code, data provider utilities, model definitions, experiment ...

Abstract: The goal of the hypergraph foundation model (HGFM) is to learn an encoder based on the hypergraph computational paradigm through self-supervised pretraining on high-order correlation ...

Humans collaborate in different contexts such as in creative or scientific projects, in workplaces and in sports. Depending on the project and external circumstances, a newly formed collaboration may ...

Graph theory isn’t enough. The mathematical language for talking about connections, which usually depends on networks — vertices (dots) and edges (lines connecting them) — has been an invaluable way ...

We urgently need effective drugs for coronavirus disease 2019 (Covid-19), but what is the quickest way to find them? One approach that sometimes seems akin to a “Hail Mary” pass in American football ...

Thanks to Kevin Bacon, everybody nowadays knows about networks. There are not only Bacon-like networks of actors, linked by appearing in the same film, but also social networks, neural networks and ...

Based on advancements in deep sequencing technology and microbiology, increasing evidence indicates that microbes inhabiting humans modulate various host physiological phenomena, thus participating in ...