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20192023
most citedOn Extractive and Abstractive Neural Document Summarization with Transformer Language Models

24 citations · 35 across the 11 of their papers we have counts for

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cs.LG2022

Using Graph Algorithms to Pretrain Graph Completion Transformers

Jonathan Pilault, Michael Galkin, Bahare Fatemi +3

Recent work on Graph Neural Networks has demonstrated that self-supervised pretraining can further enhance performance on downstream graph, link, and node classification tasks. How…