According to @transformercircuits, attribution graphs have been developed as a method to address persistent challenges in AI model interpretability. Their recent publication explains how these graphs ...

We prove that a properly edge-coloured complete graph Kn has a Hamilton circuit with edges of at least n - √2n distinct colours. This is proved with a method inspired by work on long partial ...

Greenville, SC, Feb. 28, 2025 (GLOBE NEWSWIRE) -- Cordell & Cordell, the nation’s largest family law firm* with offices throughout the U.S., is proud to congratulate its Regional Managing Attorney, ...

Advanced Machine Learning models called Graph Neural Networks (GNNs) process and analyze graph-structured data. They have proven quite successful in a number of applications, including recommender ...

Upstart publisher DSTLRY is launching the book in spring 2024. By Borys Kit Senior Film Writer Modern horror comics master James Tynion IV has some new scare fare for 2024, this time a series for ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: Recently, graph neural networks (GNNs) have been applied to various circuit applications, where circuit topology is leveraged in the learning of the models. However, the aggregation of GNN ...