59 citations · 87 across the 9 of their papers we have counts for
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q-bio.BM2022★ 1 cited
Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery?
Ziqiao Zhang, Yatao Bian, Ailin Xie +3
Self-supervised pre-training is gaining increasingly more popularity in AI-aided drug discovery, leading to more and more pre-trained models with the promise that they can extract…
cs.LG2022
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu, Long-Kai Huang, Ying Wei
The success of meta-learning on existing benchmarks is predicated on the assumption that the distribution of meta-training tasks covers meta-testing tasks. Frequent violation of th…
cs.LG2022
Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport
Jiying Zhang, Xi Xiao, Long-Kai Huang +2
Recently, the pretrain-finetuning paradigm has attracted tons of attention in graph learning community due to its power of alleviating the lack of labels problem in many real-world…