zaixizhang Goto Github PK
Name: zaixizhang
Type: User
Bio: I am Zaixi Zhang, a PhD student from USTC and visiting scholar at Harvard.
Name: zaixizhang
Type: User
Bio: I am Zaixi Zhang, a PhD student from USTC and visiting scholar at Harvard.
NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
Papers about graph transformers.
Papers about Structure-based Drug Design (SBDD)
Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"
Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks."
A pytorch adversarial library for attack and defense methods on images and graphs
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.
A Euclidean diffusion model for structure-based drug design.
Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"
NeurIPS 2023 Spotlight paper: Full atom protein pocket design via iterative refinement
FedGT: Federated Node Classification with Scalable Graph Transformer
Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"
The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"
This Code is for Fragment-wise 3D Structure-based Molecular Generation with Reliable Geometry
G-SchNet - a generative model for 3d molecular structures
Multilevel graph coarsening algorithm with spectral and cut guarantees
Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces
A pytorch implementation of graph transformer for node classification
A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
Chemical Science 2023: An equivariant generative framework for molecular graph-structure Co-design
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
Implementation of PocketGen: Generating Full-Atom Ligand-Binding Protein Pockets
How Powerful are Graph Neural Networks?
Strategies for Pre-training Graph Neural Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.