Abstract: An efficient implicit representation of an n-vertex graph G in a family $\mathcal{F}$ of graphs assigns to each vertex of G a binary code of length O(log n) so that the adjacency between ...

This app utilises JNI to offload the graph point calculation to native C++ for extremely fast calculation of points (at least a few orders of magnitude improvement over Kotlin code in my own ...

Biases are assumptions you make about a person, group, situation, or thing. Your background, cultural environment, and personal experiences may influence the types of biases you have. They can be ...

Abstract: Empowered by their remarkable advantages, graph neural networks (GNN) serve as potent tools for embedding graph-structured data and finding applications across various domains. Particularly, ...

ABSTRACT: Schrödinger equations are very common equations in physics and mathematics for nonlinear physics to model the dynamics of wave propagation in waveguides such as power lines, atomic chains, ...

One challenge for these kinds of graphs is that the outgoing edges of a vertex often depend on previously-discovered vertices. That suggests some kind of memo is needed. You might not want to make ...