Physicists develop new protocol for building photonic graph states

Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Frontiers

Graph Learning and Deep Unfolding for Electromagnetic Field Modelling and Antenna Systems

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...
IEEE

Evolutionary Parameter Tuning Method for a Graph-Based Path Planning Algorithm in Agricultural Robotic Manipulators

Abstract: The successful execution of path planning algorithms can be substantially impacted by the selection of appropriate planner’s parameters. Identifying the optimal parameters suitable for a ...
GitHub

[OSDI'25 Artifact] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...
IEEE

Efficient and Robust Graph Coloring Algorithm for Graph Coloring Problem: Malatya Vertex Coloring Algorithm

The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various real-world ...
GitHub

graph-isomorphism-networks

Melty Molecule is a molecular property prediction system that leverages graph neural networks to predict melting points of chemical compounds. The model uses a hybrid architecture combining Principal ...