ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1812.04690
  4. Cited By
Learning representations of molecules and materials with atomistic
  neural networks

Learning representations of molecules and materials with atomistic neural networks

11 December 2018
Kristof T. Schütt
A. Tkatchenko
K. Müller
    NAI
ArXivPDFHTML

Papers citing "Learning representations of molecules and materials with atomistic neural networks"

1 / 1 papers shown
Title
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Higher-Order Explanations of Graph Neural Networks via Relevant Walks
Thomas Schnake
Oliver Eberle
Jonas Lederer
Shinichi Nakajima
Kristof T. Schütt
Klaus-Robert Muller
G. Montavon
26
215
0
05 Jun 2020
1