2019年7月3日、nlpaper.challengeが主催するイベント「第1回 NLP/CV最先端勉強会」が開催されました。NLP/CVの知見をもとにEmbedding ...

While Graph Neural Networks (GNNs) have achieved remarkable results in a variety of applications, recent studies exposed important shortcomings in their ability to capture the structure of the ...

An innovative approach to solving a stubborn, but elementary, question in graph theory — the mathematical study of networks of nodes and their connections — may signal the first major theoretical ...

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 ...

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 puzzle that has long flummoxed computers and the scientists who program them has suddenly become far more manageable. A new algorithm efficiently solves the graph isomorphism problem, computer ...

Computer scientists are abuzz over a fast new algorithm for solving one of the central problems in the field. (January 15, 2017, update: On January 4, Babai retracted ...

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