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Found 3 papers, 2 papers with code
Edisum: Summarizing and Explaining Wikipedia Edits at Scale
To overcome this problem and help editors write useful edit summaries, we propose a model for recommending edit summaries generated by a language model trained to produce good edit summaries given the representation of an edit diff.
Search For Deep Graph Neural Networks
Current GNN-oriented NAS methods focus on the search for different layer aggregate components with shallow and simple architectures, which are limited by the 'over-smooth' problem.
Multi-Objective Neural Architecture Search Based on Diverse Structures and Adaptive Recommendation
To reduce searching cost, most NAS algorithms use fixed outer network level structure, and search the repeatable cell structure only.
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