[2402.17805] Graph Neural Networks and Arithmetic Circuits
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack
[2402.17805] Graph Neural Networks and Arithmetic Circuits Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Machine Learning arXiv:2402.17805 (cs) [Submitted on 27 Feb 2024 ( v1 ), last revised 21 Nov 2024 (this version, v2)] Title: Graph Neural Networks and Arithmetic Circuits Authors: Timon Barlag , Vivian Holzapfel , Laura Strieker , Jonni Virtema , Heribert Vollmer View a PDF of the paper titled Graph Neural Networks and Arithmetic Circuits, by Timon Barlag and 4 other authors V
related reading
- A Gentle Introduction to Graph Neural Networksdistill.pub
- Circuit Tracing: Revealing Computational Graphs in Language Modelstransformer-circuits.pub
- Zoom In: An Introduction to Circuitsdistill.pub
- Distill — Latest articles about machine learningdistill.pub
- Understanding Convolutions on Graphsdistill.pub
- Aman's AI Journal • Primers • Ilya Sutskever's Top 30aman.ai
- Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networksthegradient.pub
- Home | Petar Veličkovićpetar-v.com
- geometricdeeplearning.com/book/graphs.htmlgeometricdeeplearning.com
- Neural networks and deep learningneuralnetworksanddeeplearning.com
- [2404.19756] KAN: Kolmogorov-Arnold Networksarxiv.org
- Graph Convolutional Networks | Thomas Kipf | Google DeepMindtkipf.github.io