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01/26/2023
WL meet VC
Recently, many works studied the expressive power of graph neural networ...
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06/22/2022
Ordered Subgraph Aggregation Networks
Numerous subgraph-enhanced graph neural networks (GNNs) have emerged rec...
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04/10/2022
Expressiveness and Approximation Properties of Graph Neural Networks
Characterizing the separation power of graph neural networks (GNNs) prov...
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03/17/2022
On the expressive power of message-passing neural networks as global feature map transformers
We investigate the power of message-passing neural networks (MPNNs) in t...
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06/12/2021
Graph Neural Networks with Local Graph Parameters
Various recent proposals increase the distinguishing power of Graph Neur...
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10/26/2020
Expressive power of linear algebra query languages
Linear algebra algorithms often require some sort of iteration or recurs...
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07/23/2020
The expressive power of kth-order invariant graph networks
The expressive power of graph neural network formalisms is commonly meas...
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06/16/2020
Walk Message Passing Neural Networks and Second-Order Graph Neural Networks
The expressive power of message passing neural networks (MPNNs) is known...
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04/06/2020
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework
In this paper we cast neural networks defined on graphs as message-passi...
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03/16/2020
When Can Matrix Query Languages Discern Matrices?
We investigate when two graphs, represented by their adjacency matrices,...
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12/11/2018
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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06/26/2018
A General Framework for Anytime Approximation in Probabilistic Databases
Anytime approximation algorithms for computing query probabilities over ...
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09/25/2017
