The Graph Isomorphism Problem is the computational problem of determining whether two finite graphs are isomorphic. I chose to represent the graphs using an adjacency matrix, this way I can easily ...

A comprehensive, production-ready implementation of Graph Isomorphism Networks (GIN) for graph classification tasks. This project provides a clean, reproducible, and ...

修正前の製造計画（強い）と発送計画（弱い）、修正後とをそれぞれ繋げてグラフ構造で考える。 このSubGraphが同型であれば良く、そのグラフネットワークの因果関係をGNNで見つける。 と、前回でここまで辿り着いた。後は道具だ。 グラフ理論と ...

The legendary graph isomorphism problem may be harder than a 2015 result seemed to suggest. “In Laci Babai, you have one of the most legendary and fearsome theoretical computer scientists there ever ...

Just five days after posting a retraction, László Babai announced that he had fixed the error in his landmark graph isomorphism algorithm. The back and forth ...

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

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...

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 ...

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...