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06/30/2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
Graph Neural Networks (GNNs) have emerged as a powerful tool for learnin...
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06/20/2023
Provably Powerful Graph Neural Networks for Directed Multigraphs
This paper proposes a set of simple adaptations to transform standard me...
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05/23/2023
Cascaded Beam Search: Plug-and-Play Terminology-Forcing For Neural Machine Translation
This paper presents a plug-and-play approach for translation with termin...
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06/01/2022
Graph Neural Networks with Precomputed Node Features
Most Graph Neural Networks (GNNs) cannot distinguish some graphs or inde...
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09/20/2021
A Plug-and-Play Method for Controlled Text Generation
Large pre-trained language models have repeatedly shown their ability to...
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06/23/2021
Bailouts in Financial Networks
We consider networks of banks with assets and liabilities. Some banks ma...
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12/31/2020
Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation
Large pre-trained language models are capable of generating realistic te...
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09/10/2020
