Multi-modal Graph Fusion for Inductive Disease Classification in Incomplete Datasets

Spectral Networks and Locally Connected Networks on Graphs

Original

Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2013

Earlier work this paper cites.

Convolutional neural networks on graphs with fast localized spectral filtering

Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016

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Semi-Supervised Classification with Graph Convolutional Networks

Original

Thomas N. Kipf and Max Welling · 2016

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Stability-weighted matrix completion of incomplete multi-modal data for disease diagnosis

Kim-Han Thung, Ehsan Adeli, Pew-Thian Yap, and Dinggang Shen · 2016

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Geometric Deep Learning: Going beyond Euclidean data

Michael M. Bronstein, Joan Bruna, Yann Lecun, Arthur Szlam, and Pierre Vandergheynst · 2017

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Inductive Representation Learning on Large Graphs

Original

William L. Hamilton, Rex Ying, and Jure Leskovec · 2017

Cited alongside, same era.

Spectral graph convolutions for population-based disease prediction

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, and Daniel Rueckert

Cited in the paper.

Spectral graph convolutions for population-based disease prediction

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, and Daniel Rueckert

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Graph Attention Networks

Original

Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2017

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Tadpole challenge: Prediction of longitudinal evolution in alzheimer’s disease

Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Stefan Klein, Daniel C. Alexander, the EuroPOND Consortium, and for the Alzheimer’s Disease Neuroimaging Initiative · 2018

Later among the works it cites.