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Numerous important problems can be framed as learning from graph data.
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Weisfeiler, Boris and Lehman, AA · 1968
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Babai, László, Erdős, Paul, and Selkow, Stanley M · 1980
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Haussler, David · 1999
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Newman, Mark EJ · 2001
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Kondor, Risi and Lafferty, John · 2002
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Weisfeiler-lehman graph kernels
Shervashidze, Nino, Schweitzer, Pascal, van Leeuwen, Erik Jan, Mehlhorn, Kurt, and Borgwardt, Karsten M · 2011
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Tight lower and upper bounds for the complexity of canonical colour refinement
Berkholz, Christoph, Bonsma, Paul S., and Grohe, Martin · 2013
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Spectral networks and locally connected networks on graphs
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Kondor, Risi and Borgwardt, Karsten M · 2008
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The graph neural network model
Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., and Monfardini, G · 2009
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Practical graph isomorphism, {II}
McKay, Brendan D. and Piperno, Adolfo · 2014
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Convolutional networks on graphs for learning molecular fingerprints
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Henaff, Mikael, Bruna, Joan, and LeCun, Yann · 2015
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Li, Yujia, Tarlow, Daniel, Brockschmidt, Marc, and Zemel, Richard · 2015
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Orsini, F., Frasconi, P., and Raedt, L. De · 2015
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Yanardag, Pinar and Vishwanathan, S.V.N · 2015
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