Pinned Repositories
awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Data-Centric-Transfer
[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
graph-data-augmentation-papers
A curated list of graph data augmentation papers.
Graph-DiT
The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"
GREA
[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
InfoAlign
The code for "Learning Molecular Representation in a Cell"
infoalign-package
Python package for InfoAlign
Llamole
Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
SGIR
[KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"
torch-molecule
torch-molecule is a developing package for molecular discovery using deep learning, designed with an sklearn-style interface for ease of use.
liugangcode's Repositories
liugangcode/Graph-DiT
The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"
liugangcode/GREA
[KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"
liugangcode/SGIR
[KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"
liugangcode/Data-Centric-Transfer
[NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framework with diffusion model on graphs.
liugangcode/InfoAlign
The code for "Learning Molecular Representation in a Cell"
liugangcode/Llamole
Llamole: Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
liugangcode/torch-molecule
torch-molecule is a developing package for molecular discovery using deep learning, designed with an sklearn-style interface for ease of use.
liugangcode/graph-data-augmentation-papers
A curated list of graph data augmentation papers.
liugangcode/infoalign-package
Python package for InfoAlign
liugangcode/awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
liugangcode/Awesome-Language-Model-on-Graphs
A curated list of papers and resources about language model on graphs.
liugangcode/cf_visualize
Visualization of counterfactual explanation for NetFLow datasets
liugangcode/liugangcode.github.io.1
A jekyll based resume template
liugangcode/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
liugangcode/rdkit
The official sources for the RDKit library
liugangcode/polymer_repeat