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Found 5 papers, 4 papers with code
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets
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
Most Graph Neural Networks (GNNs) cannot distinguish some graphs or indeed some pairs of nodes within a graph.
A Plug-and-Play Method for Controlled Text Generation
Large pre-trained language models have repeatedly shown their ability to produce fluent text.
Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation
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.
Brain2Word: Decoding Brain Activity for Language Generation
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.
