Graph Learning Network: A Structure Learning Algorithm

Networks, dynamics, and the small-world phenomenon

Watts, D. J · 1999

Earlier work this paper cites.

A new model for learning in graph domains

Gori, M., Monfardini, G., and Scarselli, F · 2005

Earlier work this paper cites.

Computational capabilities of graph neural networks

Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., and Monfardini, G · 2009

Earlier work this paper cites.

Auto-encoding variational bayes

Kingma, D. P. and Welling, M · 2014

Earlier work this paper cites.

Learning structured output representation using deep conditional generative models

Sohn, K., Lee, H., and Yan, X · 2015

Earlier work this paper cites.

Holistically-nested edge detection

Xie, S. and Tu, Z · 2015

Earlier work this paper cites.

Convolutional neural networks on graphs with fast localized spectral filtering

Defferrard, M., Bresson, X., and Vandergheynst, P · 2016

Earlier work this paper cites.

Gated graph sequence neural networks

Li, Y., Zemel, R., and Brockschmidt, M. a · 2016

Earlier work this paper cites.

V-net: Fully convolutional neural networks for volumetric medical image segmentation

Milletari, F., Navab, N., and Ahmadi, S.-A · 2016

Earlier work this paper cites.

Neural message passing for quantum chemistry

Gilmer, J., Schoenholz, S. S., Riley, P. F., Vinyals, O., and Dahl, G. E · 2017

Earlier work this paper cites.

Semi-supervised classification with graph convolutional networks

Kipf, T. N. and Welling, M · 2017

Cited alongside, same era.

Grammar variational autoencoder

Kusner, M. J., Paige, B., and Hernández-Lobato, J. M · 2017

Cited alongside, same era.

Encoding sentences with graph convolutional networks for semantic role labeling

Marcheggiani, D. and Titov, I · 2017

Cited alongside, same era.

Geometric matrix completion with recurrent multi-graph neural networks

Monti, F., Bronstein, M., and Bresson, X · 2017

Cited alongside, same era.

Relational inductive biases, deep learning, and graph networks

Battaglia, P. W., Hamrick, J. B., Bapst, V., Sanchez-Gonzalez, A., Zambaldi, V., Malinowski, M., Tacchetti, A., Raposo, D., Santoro, A., Faulkner, R., et al · 2018

Cited alongside, same era.

Graph convolutional matrix completion

Berg, R. v. d., Kipf, T. N., and Welling, M · 2018

Graphite: Iterative generative modeling of graphs

Grover, A., Zweig, A., and Ermon, S · 2018

Later among the works it cites.

Neural relational inference for interacting systems

Kipf, T., Fetaya, E., Wang, K.-C., Welling, M., and Zemel, R · 2018

Later among the works it cites.

Learning deep generative models of graphs

Li, Y., Vinyals, O., Dyer, C., Pascanu, R., and Battaglia, P · 2018

Later among the works it cites.

Modeling relational data with graph convolutional networks

Schlichtkrull, M., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I., and Welling, M · 2018

Later among the works it cites.

GraphVAE: Towards generation of small graphs using variational autoencoders

Simonovsky, M. and Komodakis, N · 2018

Later among the works it cites.

Hierarchical graph representation learning with differentiable pooling

Ying, Z., You, J., Morris, C., Ren, X., Hamilton, W., and Leskovec, J · 2018