Ethan Bei's repositories
Awesome-Pretraining-for-Graph-Neural-Networks
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
Awesome-Cold-Start-Recommendation
A curated list of papers on cold-start recommendations.
Awesome-Graph-Structure-Learning
A curated list of papers on graph structure learning (GSL).
Awesome-Deep-Graph-Learning-for-Drug-Discovery
A curated list of papers on deep graph learning for drug discovery (DGL4DD).
Awesome-Graph-Transfer-Learning
A curated list of papers on graph transfer learning (GTL).
Awesome-Self-Supervised-Learning-on-Graphs-with-Heterophily
A curated list of Heterophilous Graph Self-Supervised Learning papers.
Awesome-Click-Through-Rate-Prediction
A curated list of papers on click-through-rate (CTR) prediction.
Awesome-Large-Scale-Graph-Learning
A curated list of papers on large-scale graph learning.
Awesome-Multi-Label-Learning-On-Graphs
A curated list of papers on multi-label learning on graphs (MLLG).
Database-CourseDesign
暨南大学《数据库系统原理》课程设计-奖学金信息管理系统
DigitalImageProcessing-CourseDesign
暨南大学《数字图像处理》课程实验-频域滤波器&双边滤波器
GraphTransformer-DGraphFin
This is the Graph Transformer solution for DGraphFin leaderboard.
WindowsProgramming-CourseDesign
暨南大学《Windows编程》课程设计-个人收支信息管理系统
Awesome-Deep-Graph-Anomaly-Detection
Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
BELLE
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
GPT-GNN
Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"
LRGA-vessel
This is the LRGA method for ogbl-vessel of the OGB Challenge.
yuanchenbei.github.io
This is Yuanchen Bei (Dreamer)'s homepage.