The expressive power of Graph Neural Networks (GNNs) has been studied extensively through the Weisfeiler-Leman (WL) graph isomorphism test. However, standard GNNs and the WL framework are inapplicable ...

Figure 1: Experimental geometry and microscopy of screen and test pattern. To determine an effective working limit for the distance separating the sample and the exit screen we performed numerical ...

Abstract: This paper studies the relationship between a graph neural network (GNN) and a manifold neural network (MNN) when the graph is constructed from a set of points sampled from the manifold, ...

Abstract: The dynamic geometry system is a typical CAI application that utilizes computer technology to guide geometry learning. In our research of the dynamic geometry on handheld devices, we have ...

This app works by using JSON files with geometry node data exported from Blender using a custom plugin (TBD). But I included the WIP script below, it should work to export some basic graphs (haven't ...

Following discussions at the buildingSMART meeting in Chicago last week, and some research I have been doing into other similar formats, I would like to name 5 types or combinations of graphs that can ...

ABSTRACT: The purpose of this paper is to valuate the role of geometry inside Enriques’ theory of knowledge and epistemology. Our thesis is that such a role is prominent. We offer a particular ...