Diffusion-Convolutional Neural Networks

Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds. correlation with molecular orbital energies and hydrophobicity

Asim Kumar Debnath, Rosa L Lopez de Compadre, Gargi Debnath, Alan J Shusterman, and Corwin Hansch · 1991

Earlier work this paper cites.

Statistical evaluation of the predictive toxicology challenge 2000–2001

Hannu Toivonen, Ashwin Srinivasan, Ross D King, Stefan Kramer, and Christoph Helma · 2003

Earlier work this paper cites.

Protein function prediction via graph kernels

Karsten M Borgwardt, Cheng Soon Ong, Stefan Schönauer, SVN Vishwanathan, Alex J Smola, and Hans-Peter Kriegel · 2005

Earlier work this paper cites.

Efficient Inference in Large Conditional Random Fields

Trevor Cohn · 2006

Earlier work this paper cites.

Link-based classification

P Sen and L Getoor · 2007

Earlier work this paper cites.

Comparison of descriptor spaces for chemical compound retrieval and classification

Nikil Wale, Ian A Watson, and George Karypis · 2007

Earlier work this paper cites.

Scene segmentation with crfs learned from partially labeled images

Jakob Verbeek and William Triggs · 2007

Cited alongside, same era.

Collective Classification in Network Data

Prithviraj Sen, Galileo Mark Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, and Tina Eliassi-Rad · 2008

Cited alongside, same era.

The Graph Neural Network Model

F Scarselli, M Gori, Ah Chung Tsoi, M Hagenbuchner, and G Monfardini · 2009

Cited alongside, same era.

Neural Network for Graphs: A Contextual Constructive Approach

A Micheli · 2009

Cited alongside, same era.

Probabilistic Graphical Models: Principles and Techniques

Daphne Koller and Nir Friedman · 2009

Cited alongside, same era.

Theano: a CPU and GPU math expression compiler

James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, and Yoshua Bengio · 2010

Cited alongside, same era.

Adaptive subgradient methods for online learning and stochastic optimization

John Duchi, Elad Hazan, and Yoram Singer · 2011

Later among the works it cites.

An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification

François Fouss, Kevin Francoisse, Luh Yen, Alain Pirotte, and Marco Saerens · 2012

Later among the works it cites.

Spectral networks and locally connected networks on graphs

Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun · 2014

Later among the works it cites.

Deep Graph Kernels

Pinar Yanardag and S V N Vishwanathan · 2015

Closest in time.

Deep Convolutional Networks on Graph-Structured Data

M Henaff, J Bruna, and Y LeCun · 2015

Closest in time.

Convolutional Networks on Graphs for Learning Molecular Fingerprints

David K Duvenaud, Dougal Maclaurin, Jorge Aguilera-Iparraguirre, Rafael Gómez-Bombarelli, Timothy Hirzel, Alán Aspuru-Guzik, and Ryan P Adams · 2015