Search Results for author: Beni Egressy

Found 6 papers, 4 papers with code

Graph Dimension Attention Networks for Enterprise Credit Assessment

no code implementations16 Jul 2024 Shaopeng Wei, Beni Egressy, Xingyan Chen, Yu Zhao, Fuzhen Zhuang, Roger Wattenhofer, Gang Kou

Enterprise credit assessment is critical for evaluating financial risk, and Graph Neural Networks (GNNs), with their advanced capability to model inter-entity relationships, are a natural tool to get a deeper understanding of these financial networks.

Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets

1 code implementation30 Jun 2023 Eren Akbiyik, Florian Grötschla, Beni Egressy, Roger Wattenhofer

We use Graphtester to analyze over 40 different graph datasets, determining upper bounds on the performance of various GNNs based on the number of layers.

Graph Neural Networks with Precomputed Node Features

no code implementations1 Jun 2022 Beni Egressy, Roger Wattenhofer

Most Graph Neural Networks (GNNs) cannot distinguish some graphs or indeed some pairs of nodes within a graph.

Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation

1 code implementation31 Dec 2020 Damian Pascual, Beni Egressy, Florian Bolli, Roger Wattenhofer

Given that state-of-the-art language models are too large to be trained from scratch in a manageable time, it is desirable to control these models without re-training them.

Language Modelling Machine Translation +2

Brain2Word: Decoding Brain Activity for Language Generation

1 code implementation10 Sep 2020 Nicolas Affolter, Beni Egressy, Damian Pascual, Roger Wattenhofer

In the case of language stimuli, recent studies have shown that it is possible to decode fMRI scans into an embedding of the word a subject is reading.

Brain Decoding Text Generation +1

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