Ethan

Awesome-Cold-Start-Recommendation. [Up-to-date] A curated list of resources on cold-start recommendations.

Awesome-Pretraining-for-Graph-Neural-Networks. A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

Awesome-Graphs-Meet-Agents. [Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents).

ColdRec. ColdRec: An Open-Source Toolbox for Cold-Start Recommendation.

Mem-Gallery. The source code of Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents (ACL2026 Main).

MacGNN. The source code of MacGNN, The Web Conference 2024.

Awesome-Graph-Structure-Learning. A curated list of papers on graph structure learning (GSL).

Awesome-Large-Scale-Graph-Learning. A curated list of papers on large-scale graph learning.

CorGCN. Python

Awesome-Graph-Transfer-Learning. A curated list of papers on graph transfer learning (GTL).

Awesome-Click-Through-Rate-Prediction. A curated list of papers on click-through-rate (CTR) prediction.

Awesome-Deep-Graph-Learning-for-Drug-Discovery. A curated list of papers on deep graph learning for drug discovery (DGL4DD).

Awesome-Self-Supervised-Learning-on-Graphs-with-Heterophily. A curated list of Heterophilous Graph Self-Supervised Learning papers.

CPDG. This is the source code of CPDG (A contrastive pre-training method for dynamic graph neural networks).

Awesome-Multi-Label-Learning-On-Graphs. A curated list of papers on multi-label learning on graphs (MLLG).

RAND. The source code of Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection (RAND), ICDM 2023.

NRCGI. The source code of NRCGI (Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction, CIKM2023).

GraphTransformer-DGraphFin. This is the Graph Transformer solution for DGraphFin leaderboard.

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

FlatGCN. This is the official Pytorch-version code of FlatGCN (Flattened Graph Convolutional Networks for Recommendation, DLP-KDD 2022).

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

WindowsProgramming-CourseDesign. 暨南大学《Windows编程》课程设计-个人收支信息管理系统

MemoryOS. MemoryOS is designed to provide a memory operating system for personalized AI agents.