
Graph Neural Networks with Local Graph Parameters
Various recent proposals increase the distinguishing power of Graph Neur...
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Expressive power of linear algebra query languages
Linear algebra algorithms often require some sort of iteration or recurs...
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The expressive power of kthorder invariant graph networks
The expressive power of graph neural network formalisms is commonly meas...
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Walk Message Passing Neural Networks and SecondOrder Graph Neural Networks
The expressive power of message passing neural networks (MPNNs) is known...
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Let's Agree to Degree: Comparing Graph Convolutional Networks in the MessagePassing Framework
In this paper we cast neural networks defined on graphs as messagepassi...
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When Can Matrix Query Languages Discern Matrices?
We investigate when two graphs, represented by their adjacency matrices,...
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On the expressive power of linear algebra on graphs
Most graph query languages are rooted in logic. By contrast, in this pap...
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A General Framework for Anytime Approximation in Probabilistic Databases
Anytime approximation algorithms for computing query probabilities over ...
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On the expressive power of query languages for matrices
We investigate the expressive power of MATLANG, a formal language for ma...
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Floris Geerts
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