I am Zaixi Zhang, AI2 Fellow at Princeton AI Lab. I previously obtained my PhD degree from USTC and exchanged at Harvard.
PocketGen. PocketGen (Nature Machine Intelligence 24): Generating Full-Atom Ligand-Binding Protein Pockets
224Awesome-SBDD. Papers about Structure-based Drug Design (SBDD)
153STELLA. STELLA: Self-Evolving LLM Agent for Biomedical Research
146MGSSL. Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
129FLDetector. The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"
87FLAG. Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"
73ANS-GT. NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
51ProtGNN. Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
51FAIR. NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinement
49graphbackdoor. A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
44Graph_Transformer. A pytorch implementation of graph transformer for node classification
34RNAGenesis. RNAGenesis: A Generalist Foundation Model for Functional RNA Therapeutics
33DrugGPS_ICML23. Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"
31LabOS. Official Code of LabOS: the AI-XR Co-Scientist that Sees and Works with Humans
27CBD. Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"
25GeneBreaker. Jailbreak Evo
23FoldMark. Implementation of FoldMark: Safeguarding Protein Structure Generative Models with Distributional and Evolutionary Watermarking
23PocketFlow. Implementation of NeurIPS24 paper "Generalized Protein Pocket Generation with Prior-Informed Flow Matching"
21GraphMI. Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
13MolCode. Chemical Science 2023: An equivariant generative framework for molecular graph-structure Co-design
10FedGT. FedGT: Federated Node Classification with Scalable Graph Transformer
8FlexSBDD. Implementation of NeurIPS24 paper "FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling"
8BioClaw. TypeScript
6SSL_OSC. Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
4FragGen. This Code is for Fragment-wise 3D Structure-based Molecular Generation with Reliable Geometry
2Protein_Editing. Protein Editing
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