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20212024
most citedMotif-based Graph Self-Supervised Learning for Molecular Property Prediction

44 citations · 77 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.BM20242 cited

FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling

Zaixi Zhang, Mengdi Wang, Qi Liu

Structure-based drug design (SBDD), which aims to generate 3D ligand molecules binding to target proteins, is a fundamental task in drug discovery. Existing SBDD methods typically…

q-bio.BM20241 cited

Generalized Protein Pocket Generation with Prior-Informed Flow Matching

Zaixi Zhang, Marinka Zitnik, Qi Liu

Designing ligand-binding proteins, such as enzymes and biosensors, is essential in bioengineering and protein biology. One critical step in this process involves designing protein…

cs.LG202230 cited

Hierarchical Graph Transformer with Adaptive Node Sampling

Zaixi Zhang, Qi Liu, Qingyong Hu +1

The Transformer architecture has achieved remarkable success in a number of domains including natural language processing and computer vision. However, when it comes to graph-struc…

cs.LG2022

Model Inversion Attacks against Graph Neural Networks

Zaixi Zhang, Qi Liu, Zhenya Huang +3

Many data mining tasks rely on graphs to model relational structures among individuals (nodes). Since relational data are often sensitive, there is an urgent need to evaluate the p…

q-bio.QM202144 cited

Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

Zaixi Zhang, Qi Liu, Hao Wang +2

Predicting molecular properties with data-driven methods has drawn much attention in recent years. Particularly, Graph Neural Networks (GNNs) have demonstrated remarkable success i…