85 citations · 88 across the 6 of their papers we have counts for
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cs.LG2026
Synthetic reaction data from transformation rules for graph-to-sequence pretraining in biodegradation pathway prediction
Irsyaad Rijwan, Liam Brydon, Aidan Jared +1
The scarcity of observed biodegradation reactions constrains the training of product and pathway predictors. We present enviGraph, a framework that generates and curates synthetic…
cs.LG2023★ 1 cited
Fast Adversarial Label-Flipping Attack on Tabular Data
Xinglong Chang, Gillian Dobbie, Jörg Wicker
Machine learning models are increasingly used in fields that require high reliability such as cybersecurity. However, these models remain vulnerable to various attacks, among which…