1 citations · 2 across the 6 of their papers we have counts for
8 papers
Recursive querying of neural networks via weighted structures
Martin Grohe, Christoph Standke, Juno Steegmans +1
Expressive querying of machine learning models - viewed as a form of intentional data - enables their verification and interpretation using declarative languages, thereby making le…
Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message-Passing Limit
Eran Rosenbluth, Martin Grohe
We precisely characterize the expressivity of computable Recurrent Graph Neural Networks (recurrent GNNs). We prove that recurrent GNNs with finite-precision parameters, sum aggreg…
Query languages for neural networks
Martin Grohe, Christoph Standke, Juno Steegmans +1
We lay the foundations for a database-inspired approach to interpreting and understanding neural network models by querying them using declarative languages. Towards this end we st…
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability
Hinrikus Wolf, Luis Böttcher, Sarra Bouchkati +9
In the course of the energy transition, the expansion of generation and consumption will change, and many of these technologies, such as PV systems, electric cars and heat pumps, w…
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert +2
Graph Transformers (GTs) such as SAN and GPS are graph processing models that combine Message-Passing GNNs (MPGNNs) with global Self-Attention. They were shown to be universal func…
Are Targeted Messages More Effective?
Martin Grohe, Eran Rosenbluth
Graph neural networks (GNN) are deep learning architectures for graphs. Essentially, a GNN is a distributed message passing algorithm, which is controlled by parameters learned fro…
Selecting Walk Schemes for Database Embedding
Yuval Lev Lubarsky, Jan Tönshoff, Martin Grohe +1
Machinery for data analysis often requires a numeric representation of the input. Towards that, a common practice is to embed components of structured data into a high-dimensional…
The Importance of Parameters in Database Queries
Amir Gilad, Martin Grohe, Benny Kimelfeld +2
We propose and study a framework for quantifying the importance of the choices of parameter values to the result of a query over a database. These parameters occur as constants in…