Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials

8 June 2018

Papers citing "Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials"

11 / 11 papers shown

Title
Artificial Intelligence in Material Engineering: A review on applications of AI in Material Engineering Lipichanda Goswami Manoj Deka Mohendra Roy AI4CE 29 19 0 15 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 45 82 0 07 Sep 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 39 370 0 05 Aug 2022
Unified Recurrence Modeling for Video Action Anticipation Tsung-Ming Tai G. Fiameni Cheng-Kuang Lee Simon See O. Lanz 19 8 0 02 Jun 2022
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations Anuroop Sriram Abhishek Das Brandon M. Wood Siddharth Goyal C. L. Zitnick AI4CE 25 27 0 18 Mar 2022
Heterogeneous Molecular Graph Neural Networks for Predicting Molecule Properties Zeren Shui George Karypis 19 62 0 26 Sep 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 28 86 0 22 Jun 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 20 846 0 06 Mar 2020
Deep Learning for Automated Classification and Characterization of Amorphous Materials K. Swanson Shubhendu Trivedi Joshua Lequieu Kyle Swanson Risi Kondor 16 37 0 10 Sep 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 13 26 0 27 May 2019
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016