Curvature-informed multi-task learning for graph networks

Curvature-informed multi-task learning for graph networks

2 August 2022

Christopher D. Stiles

Papers citing "Curvature-informed multi-task learning for graph networks"

10 / 10 papers shown

Title
Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond Jonathan Godwin Michael Schaarschmidt Alex Gaunt Alvaro Sanchez-Gonzalez Yulia Rubanova Petar Velivcković J. Kirkpatrick Peter W. Battaglia 66 60 0 15 Jun 2021
Materials Representation and Transfer Learning for Multi-Property Prediction Shufeng Kong D. Guevarra Carla P. Gomes J. Gregoire AI4CE 42 43 0 04 Jun 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 86 997 0 19 Feb 2021
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 116 869 0 06 Mar 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 157 1,209 0 19 Jan 2020
Negative eigenvalues of the Hessian in deep neural networks Guillaume Alain Nicolas Le Roux Pierre-Antoine Manzagol 42 43 0 06 Feb 2019
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 689 3,112 0 04 Jun 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 533 7,431 0 04 Apr 2017
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 323 1,825 0 02 Mar 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 354 10,467 0 21 Jul 2016