Differentiable graph-structured models for inverse design of lattice
materials

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Differentiable graph-structured models for inverse design of lattice materials

11 April 2023

Derek Aranguren van Egmond

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Papers citing "Differentiable graph-structured models for inverse design of lattice materials"

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Title
A Generalist Neural Algorithmic Learner Borja Ibarz Vitaly Kurin George Papamakarios Kyriacos Nikiforou Mehdi Abbana Bennani ... Andreea Deac Beatrice Bevilacqua Yaroslav Ganin Charles Blundell Petar Velivcković OOD 92 54 0 22 Sep 2022
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 84 806 0 07 Oct 2020
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu Qi Liu Chao Wang Zhenya Huang Peize Lin Lixin He AI4CE 70 193 0 25 Jun 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 155 1,334 0 10 Mar 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 106 1,244 0 28 Jan 2019
Accelerated physical emulation of Bayesian inference in spiking neural networks Á. F. Kungl Sebastian Schmitt Johann Klähn Paul Müller A. Baumbach ... V. Karasenko Andreas Grübl Johannes Schemmel K. Meier Mihai A. Petrovici 53 36 0 06 Jul 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 265 6,179 0 24 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 523 15,369 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 600 7,500 0 04 Apr 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 196 4,844 0 17 Mar 2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System Sebastian Schmitt Johann Klaehn G. Bellec Andreas Grübl Maurice Guettler ... Robert Legenstein Wolfgang Maass Christian Mayr Johannes Schemmel K. Meier 56 138 0 06 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 693 29,220 0 09 Sep 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing S. K. Esser P. Merolla John V. Arthur A. Cassidy R. Appuswamy ... Pallab Datta A. Amir B. Taba M. Flickner D. Modha 3DH 67 718 0 28 Mar 2016