xiangen's repositories
DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
CGI
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
PASTEL
Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
dataease
人人可用的开源数据可视化分析工具。
COSTA
Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
GAug
AAAI'21: Data Augmentation for Graph Neural Networks
GASOLINE
Implementations of 'Graph Sanitation with Application to Node Classification', The Web Conf'22
rsbi-os
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
developer-roadmap-zh-CN
💻 🇨🇳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。
ImGAGN
Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks
ReNode
Code for Neurips2021 Paper "Topology-Imbalance Learning for Semi-Supervised Node Classification".
egai
This is an implementation of paper: Enhancing Graph Neural Networks by a High-quality Aggregation of Beneficial Information (Neural Networks 2021))
Multi_Imbalance
Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)