baixiangen Goto Github PK

Name: xiangen

Type: User

xiangen's Projects

Contrastive Graph Structure Learning via Information Bottleneck for Recommendation

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

人人可用的开源数据可视化分析工具。

💻 🇨🇳Roadmap to becoming a Internet software developer，互联网开发者学习路线图与资源推荐，成为一名研发工程师求职所需要的最少技能中文版，包括Java、C++、Golang、前端、Python等学习大纲、路线以及资源推荐。

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

This is an implementation of paper: Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information (Neural Networks 2021))

Implementations of 'Graph Sanitation with Application to Node Classification', The Web Conf'22

AAAI'21: Data Augmentation for Graph Neural Networks

Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks

Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)

Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"

Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".

睿思bi开源版后台系统，基于Springboot构建，快速分析数据及可视化，0代码编写