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Qiangqiang Dai

2 accepted papers

2026

Towards Docking-oriented De Novo Ligand Design via Gradient Inversion

ICML 2026poster

De novo ligand design is a fundamental task that seeks to generate protein or molecule candidates that can effectively dock with protein receptors and achieve strong binding affinity entirely from scratch. It holds paramount significance for a wide spectrum of biomedical applications. However, most …

Cited by 0SourceScholar
2022

Filtration-Enhanced Graph Transformation

IJCAI 2022poster

Graph kernels and graph neural networks (GNNs) are widely used for the classification of graph data. However, many existing graph kernels and GNNs have limited expressive power, because they cannot distinguish graphs if the classic 1-dimensional Weisfeiler-Leman (1-WL) algorithm does not distinguish…

Cited by 1SourcePDFScholar