Microeconomic Pricing Models: Understanding Pricing Through Supply and Demand

Learn how microeconomic pricing models determine market prices through supply and demand. Discover how equilibrium is ...

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 ...
IEEE

Remaining Useful Life Prediction of Bearings Based on Graph Isomorphism Network With Graph-in-Graph Framework

Abstract: Graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationships among data.
IEEE

Kolmogorov-Arnold Networks for Graph Isomorphism and Complex Representation

This study proposes KGI, a novel graph isomorphism network that integrates Kolmogorov-Arnold Networks (KAN) into graph representation learning. Unlike traditional Graph Isomorphism Networks (GIN) that ...
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 ...